The Apache Software Foundation
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Forest Hill, MD —10 January 2018— The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache® Trafodion™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache Trafodion extends Apache Hadoop to guarantee transactional integrity and operational workloads for new kinds of Big Data applications that run on Hadoop.

 "We are very excited to have been established as an Apache Top-Level Project," said Pierre Smits, Vice President of Apache Trafodion. "Graduation is a terrific milestone that culminates 2.5 years of contributions from around the globe to establishing a growing community committed to delivering a high-grade OLTP solution on top of the Apache Hadoop ecosystem."

Building on the scalability, elasticity, and flexibility of Hadoop, Trafodion (meaning "transactions" in Welsh) is the first integrated Open Source solution that delivers on the promise of integrated transactional and analytical systems (OLTP/OLAP) for Apache Hadoop. Trafodion's features include:

• Fully functional ANSI SQL support, leveraging existing SQL skills;
• Distributed ACID data protection, guaranteeing data consistency across multiple tables and rows;
• Compile-Time and Run-Time Optimizers, delivering performance improvements for OLTP workloads;
• Parallel-aware Query Optimizer, supporting large data sets;
• Apache Spark integration, supporting streaming analysis;
• Interoperability with existing Apache Hadoop tools and solutions, such as Hive, Ambari, Flume, Kafka, and Oozie; and 
• Apache Hadoop and Linux distribution neutrality.

Trafodion originated at HP-IT in 2013, and was donated to the Apache Incubator in May 2015. The project has had four official releases since entering the Apache Incubator. 

Apache Trafodion is in use at China Mobile, China Unicom, Dell EMC, Esgyn Corporation, and Millersoft Limited, among others.

"As a member of the HP Core Team responsible for releasing Trafodion to The Apache Software Foundation, and responsible for the project’s name, I'm thrilled to see the Trafodion community be recognized with this major achievement. Congratulations to all who made it possible," said Ken Holt, COO at Esgyn Corporation. "Trafodion is the heart of EsgynDB, and the community is like its lifeblood — we at Esgyn are committed to continue to grow and support the community."

"Congratulations to the Trafodion community for becoming an Apache Top-Level Project," said Tianduo Gao, Senior Development Engineer of Software Technology (Suzhou) at China Mobile. "We are planning to use Trafodion to expand the business of China Mobile's Big Data platform: our data statistics of 4G real-time business in the country and provinces are more efficient than ever before."

"Becoming a core Apache Project is a major step forward for Trafodion. It will give Millersoft the confidence to introduce the technology to our Big Data clients," said Calum Miller, Director of Millersoft Limited. "Testing of our Open Source Data Vault engine running on top of Apache Trafodion is going well and we look forward to announcing a fully integrated product shortly."

"Apache Trafodion enhanced the operational efficiency of our Big Data platforms, and brought us better customer experience and broader application scenarios," said Charles Yu, Managing Director, Application Services at Dell EMC.

"Congratulations to Trafodion for officially becoming part of the Apache open source ecosystem," said Qingquan Gu, Senior Development Engineer of Internet of Things Marketing Service Center at China Unicom. "Using Trafodion provided China Unicom with the ability to build and integrate Big Data platforms, enhanced our operational efficiency, and brought us better customer experience."

"Becoming an Apache Top-Level Project is only the beginning," added Smits. "We are looking forward to growing the Trafodion community, reaching new adopters and contributors, and fostering a strong ecosystem around the project."

Availability and Oversight
Apache Trafodion software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Trafodion, visit http://trafodion.apache.org/ and https://twitter.com/Trafodion

About the Apache Incubator
The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 680 individual Members and 6,300 Committers across six continents successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Capital One, Cash Store, Cerner, Cloudera, Comcast, Facebook, Google, Hewlett Packard, Hortonworks, Huawei, IBM, Inspur, iSIGMA, ODPi, LeaseWeb, Microsoft, PhoenixNAP, Pivotal, Private Internet Access, Red Hat, Serenata Flowers, Target, Union Investment, WANdisco, and Yahoo. For more information, visit http://apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "Trafodion", "Apache Trafodion", "Hadoop", "Apache Hadoop", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

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Apache RocketMQ is an Open Source distributed messaging and streaming Big Data platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability.

"I am very excited to see Apache RocketMQ as a Top-Level Project and I would like to thank our mentors for all their help, the Apache Incubator Project Management Committee for its advice and guidance, everyone in the RocketMQ community, and Alibaba for publishing the research upon which RocketMQ is based," said Xiaorui Wang, Vice President of Apache RocketMQ. "During the incubation process, the RocketMQ community worked very hard to develop high-quality distributed software for messaging and streaming, in an open and inclusive manner in accordance with the Apache Way."

RocketMQ originated at Alibaba in 2012, and, after handling 1.2 trillion concurrent online message transmissions in the Alibaba Nov. 11th Global Shopping Festival, was donated to the Apache Incubator in November 2016. Apache RocketMQ v4.0.0 was released in February 2017.

As a distributed messaging engine, RocketMQ features include:

• Low latency; more than 99.6% response latency within 1 millisecond under high pressure;
• Finance-oriented, high availability with tracking and auditing features;
• Industry-sustainable, trillion-level message capacity guaranteed;
• Vendor-neutral, support multiple messaging protocols like JMS and OpenMessaging;
• Big Data friendly, batch transferring with versatile integration for flooding throughput; and
• Massive accumulation, given sufficient disk space, accumulate messages without performance loss.
  
  

"RocketMQ was conceived from the outset as an open-source distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability," said Von Gosling, original co-creator of RocketMQ and Chief Architect of Aliware MQ at Alibaba Group. "It has been great to witness the growth of the RocketMQ community and codebase as an ASF incubating project, and I look forward to this continuing as a Top-Level Project. Today, more than 100 companies are using Apache RocketMQ, with more feedback coming from the community. According to our data, more than 80% of the project's contributions are from outside the donator Alibaba Group."

In addition to Alibaba Group, Apache RocketMQ is in use at hundreds of companies and research/educational institutions that include Didi Chuxing, S.F. Express, WeBank, Peking University, and Chinese Academy of Sciences, among others.

"Graduation from the Incubator marks an important milestone for the RocketMQ project," said Bruce Snyder, Apache RocketMQ Incubator Mentor and Director of Software Development at SAP Hybris. "This is recognition of the focus and hard work of the project members to learn The Apache Way and drive community around RocketMQ. I am honored to have helped guide the project to a successful graduation."

"At Didi, we have used Apache RocketMQ as storage engine to build MessageQueue service. Based on high availability and high performance of RocketMQ we provide high-quality service," said Neil Qi, Architect at Didi Chuxing. "I believe RocketMQ will become the best MessageQueue project in future."

"New participants are more than welcome to join the project, To serve the community better, we created and maintained two repositories, one as our kernel version and the other one is for community contributions. The community contributed some integrated projects with some other Apache TLPs like Apache Storm, Apache Ignite, Apache Spark and Apache Flume," said Xinyu "yukon" Zhou, member of the Apache RocketMQ Project Management Committee. "We enthusiastically look forward to working together with all contributors to Apache RocketMQ in order to advance the state-of-the-art distributed messaging engine."

Availability and Oversight
Apache RocketMQ software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache RocketMQ, visit http://rocketmq.apache.org/ and https://twitter.com/ApacheRocketMQ

The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/

© The Apache Software Foundation. "Apache", "RocketMQ", "Apache RocketMQ", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

# # #

Big Data machine-learning library used for scalable in-database analytics

Forest Hill, MD –22 August 2017– The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache® MADlib™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache MADlib is a comprehensive library for scalable in-database analytics. It provides parallel implementations of machine learning, graph, mathematical and statistical methods for structured and unstructured data.

"Graduating as a Top-Level Project is a very important milestone for Apache MADlib," said Aaron Feng, Vice President of Apache MADlib. "During the incubation process, the MADlib community worked very hard to develop high quality software for in-database analytics, in an open and inclusive manner in accordance with the Apache Way."

MADlib grew out of discussions between database engine developers, data scientists, IT architects and academics interested in new approaches to scalable, sophisticated in-database analytics. These discussions were written up in a paper from VLDB 2009 [1] that coined the term "MAD Skills" for data analysis. The MADlib software project began the following year as a collaboration between researchers at UC Berkeley and engineers and computer scientists at Pivotal (formerly EMC/Greenplum). In September 2015, MADlib joined the ASF community as an incubating project.

MADlib is deployed on a wide variety of industry and academic projects across many different verticals, including automotive, consumer, finance, government, healthcare, and telecommunications.

"MADlib was conceived from the outset as an open-source meeting ground for software developers, computing researchers and data scientists to collaborate on scalable, in-database machine learning and statistics," said Joe Hellerstein, Professor of Computer Science at UC Berkeley, Co-Founder and Chief Strategy Officer at Trifacta, and one of the original authors of MADlib. "It has been great to witness the growth of the MADlib community and codebase as an ASF incubating project, and I look forward to this continuing as a Top-Level Project."

"At Pivotal, we have seen our customers successfully deploy MADlib on large scale data science projects across a wide variety of industry verticals," said Elisabeth Hendrickson, Vice President, R&D for Data at Pivotal. "As MADlib graduates to a Top-Level Project at the ASF, we anticipate increased adoption in the enterprise given the mature level of the codebase and the active developer community."

"The potential of the Apache MADlib project is unbounded," said Jim Jagielski, Vice Chairman of the ASF. "The ability to perform in-depth and detailed analytics, on both structured and unstructured data, using SQL enables MADlib to be applicable in scenarios where others simply can't compete. As not only interest in, but real-world usage of, machine learning becomes common place, MADlib joins the growing roster of Apache projects that define innovation."

"Apache MADlib is a great example of the diversity at Apache," said Ted Dunning, Apache MADlib Incubator Mentor and Member of the ASF Board of Directors. "MADlib does state-of-the-art machine learning, but does as an inherent part of a database. This is a radical approach that can provide important design flexibility. I am excited to see MADlib become a fully fledged project at Apache."

"New participants are more than welcome to join the project," added Feng. "We enthusiastically look forward to working together with all contributors to Apache MADlib in order to advance the state-of-the-art of scale-out data science tools."

[1] http://dl.acm.org/citation.cfm?id=1687576

Availability and Oversight
Apache MADlib software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache MADlib, visit http://madlib.apache.org/ and https://twitter.com/ApacheMADlib

About the Apache Incubator
The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 650 individual Members and 6,200 Committers across six continents successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Capital One, Cash Store, Cerner, Cloudera, Comcast, Facebook, Google, Hortonworks, HP, Huawei, IBM, Inspur, iSigma, LeaseWeb, Microsoft, ODPi, PhoenixNAP, Pivotal, Private Internet Access, Red Hat, Serenata Flowers, Target, WANdisco, and Yahoo. For more information, visit http://apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "MADlib", "Apache MADlib", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

# # #

Forest Hill, MD —10 January 2017— The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache® Eagle™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache Eagle is an Open Source monitoring and alerting solution for instantly identifying security and performance issues on Big Data platforms such as Apache Hadoop, Apache Spark, and more.

"We are proud to complete the incubation process and graduate as an Apache Top-Level Project," said Edward Zhang, Vice President of Apache Eagle. "The community is actively improving product coverage for analyzing various performance and security issues in large Hadoop clusters."

Eagle was first developed at eBay to solve the monitoring problem for a large scale Hadoop cluster. The eBay team soon realized it would be useful to the whole community, and submitted the project to the Apache Incubator in October 2015. Since then, the project gained a lot of attraction from various developers and organizations for its broad usage scenarios, such as system/service monitoring, application performance monitoring, and security breach detection.

Apache Eagle features include:

• Highly extensible - Apache Eagle builds its core framework around the application concept; the application itself includes the logic for monitoring source data collection, pre-processing and normalization. Developers can easily develop out-of-box monitoring applications using Eagle's application framework, and deploy into Eagle.
• Scalable - the project’s fundamental runtime is based on proven Big Data technologies, and applies a scalable core to make it adaptive according to the throughput of the data stream as well as the number of monitored applications.
• Real-time - provides state-of-the-art alert engine to identify security breaches and performance issues.
• Dynamic - users can freely enable or disable a monitoring application and dynamically change their alert policies without any impact to the underlying runtime.

"It is exciting to see increasing deployments of Apache Eagle, along with great use cases and contributions back to the project," added Zhang.

"Apache Eagle is a highly scalable and extensible technology platform to support the ever growing needs of intelligent monitoring and alerting in a massively distributed computing environment," said Debashis Saha, CTO and EVP at Jiff Inc. "As the founding executive sponsor of this project at eBay, I am proud to see the community continue to expand the capabilities by supporting complex and diverse use cases for monitoring in security, infrastructure, networking and distributed services in Apache Eagle. Congratulations to the team and the community in graduating to a Apache top level project."

"As a leader in data-centric security with a focus on cloud and Big Data technologies, Dataguise is proud to be part of the Eagle committers group. DgSecure Monitor, our sensitivity-aware monitoring product, uses Apache Eagle as the core engine," said Subra Ramesh, VP of Products and Engineering at Dataguise Inc. "Apache Eagle's flexible architecture, proven scalability, and  cutting-edge design, have enabled DgSecure Monitor to be a highly responsive and scalable solution for both on-premises and cloud deployments. We look forward to continued involvement with Eagle as it has now become a top-level Apache project."

"We have been using Apache Eagle for about a year, and are very happy to see it graduate to a Top-Level Project. Apache Eagle and its low latency real-time alert engine can help us easily identify security and performance issues instantly on Hadoop platform," said Anson Zhong, Senior Vice President of Tech Department at YHD.com. "In addition, Eagle's architecture is highly extensible. We are looking forward to using it in real time risk management system."

"Apache Eagle is a great monitoring and alerting solution designed for large-scale distributed environment," said Chad Chun, Director of Analytics Data Infrastructure at eBay. "It was originally intended for security monitoring and quickly become a generic solution for allowing domain experts to create their own monitoring applications on top of Eagle. This is a wonderful design for easily leveraging the power of community to create and share applications. Looking forward to the tremendous adoption in the industry."

"The Apache Eagle community has done a tremendous job throughout the incubation process, and I'm thrilled to see it graduate to a Top-Level Project," said P. Taylor Goetz, ASF Member and Apache Eagle Project Mangement Committee member. "Eagle fills a very important role in providing top-notch security and performance monitoring and alerting for Big Data deployments. The Eagle project has built a robust, sustainable community and demonstrated a firm understanding of the Apache Way. I look forward to further innovation as the Eagle community marks this important milestone."

"It is great to see Apache Eagle graduate to a Top Level Project within a year of time," said Seshu Adunuthula, Senior Director of Data Platforms at eBay. "It is a great product with unique position to fill the gap of monitoring and alerting large-scale distributed computing environment which is well architected to allow communities to easily implement monitoring and alerting applications on different technical domains such as networking and database clusters.  I would love to see the community to grow fast in the next coming years!"

The project welcomes contributions and community participation through mailing lists, Slack channel, face-to-face Meetups, and other events.

Apache Eagle software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For project updates, downloads, documentation, and ways to become involved with Apache Eagle, visit http://eagle.apache.org and @TheApacheEagle.

The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org

Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 620 individual Members and 5,900 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Capital One, Cash Store, Cerner, Cloudera, Comcast, Confluent, Facebook, Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma, LeaseWeb, Microsoft, OPDi, PhoenixNAP, Pivotal, Private Internet Access, Produban, Red Hat, Serenata Flowers, Target, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "Eagle", "Apache Eagle", "Apache Hadoop", "Hadoop", "Apache Spark", "Spark", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

Forest Hill, MD —21 November 2016— The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache® Geode™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache Geode is an Open Source in-memory data grid that provides transactional data management for scale-out applications needing low latency response times during high concurrent processing.

"Graduating as a Top-Level Project marks an important milestone for Apache Geode," said Mark Bretl, Vice President of Apache Geode. "Our community is proud to champion a diverse group of developers and users whose support has helped Geode reach a sustainable level of maturity."

The Geode codebase was originally developed by Gemstone Systems in 2002. GemFire, the original commercial distribution of Geode, was first widely adopted by the financial sector as the transactional, low-latency data engine used in Wall Street trading platforms. Pivotal®, which owns the GemFire technology, submitted the Geode code to the Apache Incubator in April 2015.

"We are excited to see Geode graduate from the Apache Incubator to a Top-Level Project. It's quite a feat to transform a mature commercial product into a widely adopted open source project," said Elisabeth Hendrickson, VP of Big Data R&D at Pivotal. "The committers in Geode have worked hard at building community and making the project accessible to newcomers, paving the way for developers everywhere to benefit from a proven in memory data grid technology."

Since entering the Apache Incubator, the project has had significant increases in the number of independent developers contributing to the code, as well as organizations incorporating Apache Geode in their deployments and solutions. Today, over 600 enterprises use the technology behind Apache Geode for high-scale business applications that must meet low latency and 24x7 availability requirements, such as financial risk analysis systems, high volume eCommerce Websites, and transportation & logistics management.

"zData has been deploying big solutions with the technology of Apache Geode well before it became open source software. We look forward to helping more of our customers enjoy the speed, reliability, and scale that Apache Geode brings to any application architecture."

-- Dillon Woods, CTO, zData Inc.

"Apache Geode is an important component of Capgemini's Business Data Lake and fast reacting business scale out analytics solutions. Capgemini congratulates the Apache Geode community on becoming a top level project in The Apache Software Foundation." 

-- Steve Jones, Global Vice President, Big Data, Capgemini

"Apache Apex provides direct support for Apache Geode. Geode helps Apex deployments by providing fast, fault-tolerant storage and query support for stream processing data. Data Torrent welcomes Apache Geode as a peer project of Apache Apex".

--Amol Kekre, CTO at Data Torrent

"Apache Geode is an important component of Ampool Active Data Store. It provides scale-out in-memory processing with transactional consistency. We've been enthusiastic users of Apache Geode since its beginning, and look forward to this next phase".

-- Milind Bhandarkar, CEO at Ampool

"Through the incubation process we have worked to create an open and collaborative community for developers and users to work together, and look forward to seeing new contributions, feedback, bug reports, and subscribers to the Geode email lists," added Bretl.

The Apache Geode project welcomes contributions and community participation through mailing lists, face-to-face MeetUps, Geode Clubhouse online, and other events such as the Apache: Big Data conference series.

Apache Geode software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For project updates, downloads, documentation, and ways to become involved with Apache Geode, visit http://geode.apache.org/ and @ApacheGeode.

The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/

Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 620 individual Members and 5,500 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Cerner, Cloudera, Comcast, Confluent, Facebook, Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma, LeaseWeb, Microsoft, OPDi, PhoenixNAP, Pivotal, Private Internet Access, Produban, Red Hat, Serenata Flowers, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "Geode", "Apache Geode", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

Forest Hill, MD –27 July 2016– The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache® Twill™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache Twill is an abstraction over Apache Hadoop® YARN that reduces the complexity of developing distributed Hadoop applications, allowing developers to focus more on their application logic.

"The Twill community is excited to graduate from the Apache Incubator to a Top-Level Project," said Terence Yim, Vice President of Apache Twill and Software Engineer at Cask. "We are proud of the innovation, creativity and simplicity Twill demonstrates. We are also very excited to bring a technology so versatile in Hadoop into the hands of every developer in the industry."

Apache Twill provides rich built-in features for common distributed applications for development, deployment, and management, greatly easing Hadoop cluster operation and administration.

"Enterprises use big data technologies - and specifically Hadoop - to drive more value," said Patrick Hunt, member of the Apache Software Foundation and Senior Software Engineer at Cloudera. "Apache Twill helps streamline and reduce complexity of developing distributed applications and its graduation to an Apache Top-Level Project means more people will be able to take advantage of Apache Hadoop YARN more easily."

"This is an exciting and major milestone for Apache Twill," said Keith Turner, member of the Apache Fluo (incubating) Project Management Committee, which used Twill in the development of Fluo, an Open Source project that makes it possible to update the results of a large-scale computation, index, or analytic as new data is discovered. "Early in development, we knew we needed a standard way to launch Fluo across a cluster, and we found Twill. With Twill, we quickly and easily had Fluo running across many nodes on a cluster." 

Apache Twill is in production by several organizations across various industries, easing distributed Hadoop application development and deployment.

Twill originated at Cask in early 2013. After 7 major releases, the project was submitted to the Apache Incubator in November of 2013.

"Apache Twill has come a long way through The Apache Software Foundation, and we're thrilled it has become an ASF Top-Level Project," said Nitin Motgi, CTO of Cask. "Apache Twill has become a key component behind the Cask Data Application Platform (CDAP), using YARN containers and Java threads as the processing abstraction. CDAP is an Open Source integration and application platform that makes it easy for developers and organizations to quickly build, deploy and manage data applications on Apache Hadoop and Apache Spark."

"The Apache Twill community worked extremely well within the incubator environment, developing and collaborating openly to follow The Apache Way," said Henry Saputra, ASF Member and member of the Apache Twill Project Management Committee. "There is a tremendous demand for effective APIs and virtualization for developing big data applications and Apache Twill fills that need perfectly. We’re looking forward to continuing the journey with Apache Twill as a Top-Level Project."

Catch Apache Twill in action at:

• JavaOne, 18-22 September 2016 in San Francisco
• Strata+Hadoop World, 27-29 September 2016 in New York City

Apache Twill software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Twill, visit http://twill.apache.org/ and follow @ApacheTwill. 

The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/

Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 550 individual Members and 5,300 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Cerner, Cloudera, Comcast, Confluent, Facebook, Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma, LeaseWeb, Microsoft, OPDi, PhoenixNAP, Pivotal, Private Internet Access, Produban, Red Hat, Serenata Flowers, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ and https://twitter.com/TheASF

©The Apache Software Foundation. "Apache", "Twill", "Apache Twill", "Hadoop", "Apache Hadoop", "Apache Hadoop YARN", "Spark", "Apache Spark", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

# # #

Forest Hill, MD --17 Feb 2016-- The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today Apache Arrow as a new Top-Level Project. 

A high-performance cross-system data layer for columnar in-memory analytics, Apache Arrow provides the following benefits for Big Data workloads:

• Accelerates the performance of analytical workloads by more than 100x in some cases
• Enables multi-system workloads by eliminating cross-system communication overhead

Initially seeded by code from the Apache Drill project, Apache Arrow was built on top of a number of Open Source collaborations, and establishes a de-facto standard for columnar in-memory processing and interchange.

"The Open Source community has joined forces on Apache Arrow," said Jacques Nadeau, Vice President of Apache Arrow and Vice President Apache Drill. "Developers from 13 major Open Source Big Data projects are already on board --by introducing a new era of columnar in-memory analytics, we anticipate the majority of the world's data will be processed through Arrow within the next few years."

Code committers to Apache Arrow include developers from Apache Big Data projects Calcite, Cassandra, Drill, Hadoop, HBase, Impala, Kudu (incubating), Parquet, Phoenix, Spark, and Storm as well as established and emerging Open Source projects such as Pandas and Ibis.

"Arrow's cross platform and cross system strengths will enable Python and R to become first-class languages across the entire Big Data stack," said Wes McKinney, creator of Pandas.

Apache Arrow accelerates analytical processing by providing a high performance columnar in-memory representation. A number of processing algorithms benefit greatly from this memory design. 

"A columnar in-memory data layer enables systems and applications to process data at full hardware speeds," said Todd Lipcon, original Apache Kudu creator and member of the Apache Arrow Project Management Committee. "Modern CPUs are designed to exploit data-level parallelism via vectorized operations and SIMD instructions. Arrow facilitates such processing."

In many workloads, 70-80% of CPU cycles are spent serializing and deserializing data. Arrow solves this problem by enabling data to be shared between systems and processes with no serialization, deserialization or memory copies.

"An industry-standard columnar in-memory data layer enables users to combine multiple systems, applications and programming languages in a single workload without the usual overhead," said Ted Dunning, Vice President of the Apache Incubator and member of the Apache Arrow Project Management Committee.

In addition to traditional relational data, Arrow supports complex data with dynamic schemas. For example, Arrow can handle JSON data which is commonly used in IoT workloads, modern applications and log files. Implementations are also available (or underway) for a number of programming languages including Java, C++ and Python to allow greater interoperability among a number of Big Data solutions.

"Real world use cases often include complex combinations of structured and rapidly growing complex-data. Already tested with Apache Drill, the efficient in-memory columnar representation and processing in Arrow will enable users to enjoy the performance of columnar processing with the flexibility of JSON," said Parth Chandra, member of the Apache Drill and Apache Arrow Project Management Committees.

Catch Apache Arrow in action at Strata + Hadoop World (San Jose: 30 March 2016, and London: 1-3 June 2016), as well as upcoming MeetUps and local events http://arrow.apache.org/events

Apache Arrow software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Arrow, visit http://arrow.apache.org/

Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 550 individual Members and 5,300 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Cerner, Cloudera, Comcast, Confluent, Facebook, Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma, LeaseWeb, Matt Mullenweg, Microsoft, PhoenixNAP, Pivotal, Private Internet Access, Produban, Red Hat, Serenata Flowers, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ or follow @TheASF on Twitter.

© The Apache Software Foundation. "Apache", "Apache Arrow", "Arrow", "Apache Calcite", "Calcite", "Apache Cassandra", "Cassandra", "Apache Drill", "Drill", "Apache Hadoop", "Hadoop", "Apache HBase", "HBase", "Apache Impala", "Impala", "Apache Kudu (incubating)", "Kudu (incubating)", "Apache Parquet", "Parquet", "Apache Phoenix", "Phoenix", "Apache Spark", "Spark", "Apache Storm", "Storm", "ApacheCon", and their logos are registered trademarks or trademarks of The Apache Software Foundation in the U.S. and/or other countries. All other brands and trademarks are the property of their respective owners.

# # # 

Forest Hill, MD –8 December 2015– The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache™ Kylin™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache Kylin is an Open Source Distributed Analytics Engine designed to provide a SQL interface and multi-dimensional analysis (OLAP) on Apache Hadoop™, supporting extremely large datasets. 

"Apache Kylin's incubation journey has demonstrated the value of Open Source governance at ASF and the power of building an open-source community and ecosystem around the project," said Luke Han, Vice President of Apache Kylin. "Our community is engaging the world's biggest local developer community in alignment with the Apache Way."

A leading OLAP-on-Hadoop solution, Apache Kylin fills the gap between Big Data exploration and human use, enabling interactive analysis on massive datasets with sub-second latency for analysts, end users, developers, and data enthusiasts. With these capabilities, Apache Kylin brings back business intelligence (BI) to Apache Hadoop to unleash the value of Big Data. Kylin originated at eBay, and was submitted to the Apache Incubator in November 2014.

"Apache Kylin brings Big Data to the enterprise and enables petabyte scale analytics on all the existing enterprise BI tools," said Debashis Saha, Vice President of Commerce Platform and Infrastructure at eBay. "We are extremely happy to do this in a community-driven manner and we look forward to continued innovation and collaboration of community members to advance Big Data OLAP."

"Apache Kylin provides a fantastic solution which enabled us to do 'real' interactive analysis on large-scale data without significant query latency anymore," said Yinan Wu, Lead of Data Platform at NetEase (NASDAQ: NTES). "Many thanks to the Apache Kylin team. Apache Kylin will definitely benefit more users who are interested in OLAP for Big Data."

"As one of the mentors for Apache Kylin it was a pleasure to work with the team," said Henry Saputra, ASF Member and Apache Incubator Project Management Committee member. "The team learned the Apache Way very quickly and have been developing in the open as part of decision-making and adding new committers. As a mentor of the project it was just a matter of providing guidance in the right direction to go --the team just executed to deliver high quality releases."

In addition, Kylin has relationships to several other Apache projects. "We have tightly integrated Apache Calcite as our SQL Engine, and we provided Kylin Interpreter to Apache Zeppelin," added Han. "Also, Kylin is big consumer of Hadoop, Spark, Kafka, HBase and Zookeeper, together with these other key members of the Big Data family, ASF is a natural home for Kylin."

Apache Kylin is in use at different organizations world wide, with rapid adoption as a critical analytic platform for the fastest growing Big Data market in China.

"It is great to see Apache Kylin graduate to a Top Level Project within a relatively short period of time," said Seshu Adunuthula, Director of ADI at eBay. "It has been an exciting journey seeing the community evolve around Kylin, adopting it and contributing to its newer capabilities. Several companies in addition to eBay are now using Kylin as their Big Data OLAP engines."

"Apache Kylin and its low query latency with ANSI SQL on extreme datasets feature helped us to replace legacy RMDBs of JD.com's JCloud Open API platform, which eliminated the challenges of extreme data growth and smoothly expanding our capacity," said Ling Zhu, Sr. Director of Cloud Platform at JD.com (NASDAQ: JD). "With insight on JOS API statistics data, growing by more than 700 million records every day, Apache Kylin enabled us to do multi-dimensional analysis on tens of billions of reconrds with latency in seconds."

"We have helped many of our customers with Apache Kylin to set up end-to-end business intelligence solutions," said Shicong Feng, CTO at MiningLAMP. "Apache Kylin has proved to be a very useful and powerful tool for multi-dimensional data analysis and reporting in the Big Data area, I would recommend Apache Kylin to anyone interested in making BI solutions on massive amounts of data."

"Apache Kylin is the best Open Source project for Meituan's data warehouse requirements among of other analytics technologies, with its great features including sub-second query latency on a billion records with high scalability and seamless integration with BI products," said Wen Li, Sr. Researcher of Engineering and Technology at Meituan.com. "The excellent support from Apache Kylin community enabled Meituan's Big Data team to respond quickly for a variety of needs from multi-product lines. We are looking forward to Apache Kylin continuing their good work and quickly evolving to bring more value to Big Data industry."

"Apache Kylin is the best OLAP engine on Big Data so far," said Wilson Pang, Senior Director of Data Services and Solutions at eBay. "At eBay, we collect every user behavior on every eBay screen. While other OLAP engines struggle with the data volume, Kylin enables query responses in the milliseconds. Moreover, we are also starting to leverage Kylin for near real time data streaming storage and analytics engine. All together, Kylin serves as a critical backend component for eBay’s product analytics platform."

"Working with the Apache Kylin team to bring Kylin through incubation to top-level status has been really exciting for me," said Ted Dunning, Apache Kylin incubator mentor, Vice President of the Apache Incubator, and Chief Application Architect at MapR Technologies. "The technical aspects of Kylin are exciting, of course, but just as exciting is the way that Kylin represents a growing involvement of Asian countries like China in the Open Source community."

Apache Kylin software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Kylin, visit http://kylin.apache.org/ and https://twitter.com/ApacheKylin

The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/

Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 550 individual Members and 4,700 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Bloomberg, Budget Direct, Cerner, Citrix, Cloudera, Comcast, Facebook, Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma, LeaseWeb, Matt Mullenweg, Microsoft, PhoenixNAP, Pivotal, Private Internet Access, Produban, Red Hat, Serenata Flowers, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ or follow @TheASF on Twitter.

© The Apache Software Foundation. "Apache", "Kylin", "Apache Kylin", "Calcite", "Apache Calcite", "Hadoop", "Apache Hadoop", "HBase", "Apache HBase", "Kafka", "Apache Kafka", "Spark", "Apache Spark", "Zookeeper", "Apache Zookeeper", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

Forest Hill, MD –23 November 2015– The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache™ Brooklyn™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache Brooklyn is an application blueprint and management platform used for integrating services across multiple data centers as well as and a wide range of software in the Cloud.

"We're very proud of the work that our community has done to bring us to graduation," said Richard Downer, Vice President of Apache Brooklyn. "Our time in the Apache Incubator has given us the opportunity to grow the project, both its community and its code. Users of Brooklyn can now be confident that this is a project that is going to be around for a long time to come."

With modern applications being composed of many components, and increasing interest in micro-services architecture, the deployment and ongoing evolution of deployed apps is an increasingly difficult problem. Apache Brooklyn’s blueprints provide a clear, concise way to model an application, its components and their configuration, and the relationships between components, before deploying to public Cloud or private infrastructure. Policy-based management, built on the foundation of autonomic computing theory, continually evaluates the running application and makes modifications to it to keep it healthy and optimize for metrics such as cost and responsiveness.

Cloud service providers Canopy and Virtustream both recognize the value of having an application-centered view of services and have created product offerings built on Apache Brooklyn. IBM has also made extensive use of Apache Brooklyn in order to migrate large workloads from AWS to IBM Softlayer.

Apache Brooklyn is in use at SWIFT (Society for Worldwide Interbank Financial Telecommunication), creators of the industry syntax standard for financial messages. "Apache Brooklyn fills a gap in orchestration of service delivery," said Otmane Benali, Manager of Messaging Integration at SWIFT. "Its use of the CAMP standard provides operations a single window to managing heterogeneous platforms, very common in large enterprises."

Brooklyn was created by ASF sponsor Cloudsoft Corporation in 2011, and was submitted to the Apache Incubator in May 2014. The project recently released version 0.8.0, and is continuing to evolve fast, with the aim of making a stable, well-featured 1.0 release in the first half of 2016.

"Congratulations to Brooklyn for becoming an Apache Top Level Project," said Hadrian Zbarcea, Apache Brooklyn Incubator Mentor, ASF Member, and President of Apifocal. "As a standards based, modular, extensible framework for modeling, monitoring and managing Cloud applications through autonomic blueprints, Brooklyn offers a new paradigm for Cloud platforms deployment and has the potential to create new markets --similar to what virtualization meant for the Cloud computing space."

In addition, Brooklyn has relationships to several other Apache projects. "We are big consumers of Apache jclouds, and contributors to it, so that we get strong cross-Cloud portability," added Downer. "This made the Apache Software Foundation a natural home for Brooklyn. In addition, the Brooklyn community offers off-the-shelf blueprints for many well-known Apache projects, from Cassandra and Qpid to Mesos and Hadoop."

Catch Apache Brooklyn in action at Cloud Foundry Summit Asia in Shanghai on 3 December 2015 http://cfasia2015.sched.org/event/4jwB

Apache Brooklyn software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Brooklyn, visit http://brooklyn.apache.org/ and https://twitter.com/ApacheBrooklyn

The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/

Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 550 individual Members and 4,700 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Bloomberg, Budget Direct, Cerner, Citrix, Cloudera, Comcast, Facebook, Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma, LeaseWeb, Matt Mullenweg, Microsoft, PhoenixNAP, Pivotal, Private Internet Access, Produban, Red Hat, Serenata Flowers, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ or follow @TheASF on Twitter.

© The Apache Software Foundation. "Apache", "Brooklyn", "Apache Brooklyn", "Cassandra", "Hadoop", "jclouds", "Mesos", "Qpid", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

# # #

Apache Lens is a Unified Analytics platform. It provides an optimal execution environment for analytical queries in the unified view. Apache Lens aims to cut the Data Analytics silos by providing a single view of data across multiple tiered data stores.

"Incubating Apache Lens has been an amazing experience at the ASF," said Amareshwari Sriramadasu, Vice President of Apache Lens. "Apache Lens solves a very critical problem in Big Data analytics space with respect to end users. It enables business users, analysts, data scientists, developers and other users to do complex analysis with ease, without knowing the underlying data layout."

"Apache Lens is a fantastic project that enables simplified access to Big Data analytics," said Sharad Agarwal, member of the Apache Lens PMC. "I am very proud and thrilled to see it graduate as a Top-Level Apache project, and, being involved with the project since its inception, it's exciting to see its community grow."

By providing an online analytical processing (OLAP) model on top of data, Lens seamlessly integrates Apache Hadoop with traditional data warehouses to appear as one. It also provides query history and statistics for queries running in the system along with query life cycle management.

"The query service for our data platform is built on top of Apache Lens," said Gaurav Bhalotia, Vice President of Data Platform at Flipkart. "Lens gives us a powerful and simple abstraction to query data consistently across tiers and storage stacks. We at Flipkart are very excited to see it added as a Top-Level Apache project."

"I am really thrilled to see Lens graduating so soon after getting incubated in ASF," said Mohit Saxena, Founder and CTO of InMobi. "Lens is really a perfect example how technology can be leveraged to remove complexity of traditional analytical platforms and provide a simple abstraction for end user. Earlier our reporting and data retrieval system were married to a compute and even storage engine and user had to juggle for results, Hence the need of something like Lens arises and I am so proud that lens has solved a big problem where user can simply use one query layer at the top while lens does all heavy lifting below it and I simply hope this is just the beginning and it will only thrive with the help of vibrant Apache community. God speed."

"Apache Lens has been a truly stellar example of what an incubating project should be," said Jakob Homan, ASF Member and Apache Lens Project Mentor. "It's grown very quickly and will be a tremendously useful part of the Apache Big Data ecosystem."

Catch Apache Lens in action at Apache: Big Data Europe on 29 September 2015 http://events.linuxfoundation.org/events/apache-big-data-europe/

Forest Hill, MD –25 August 2015– The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache™ Ignite™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache Ignite is a high-performance, integrated and distributed In-Memory Data Fabric for computing and transacting on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies. It is designed to easily power both existing and new applications in a distributed, massively parallel architecture on affordable, industry-standard hardware.

"Apache Ignite addresses today's Fast Data needs by providing a comprehensive in-memory data fabric, which includes a data grid with SQL and transactional capabilities, in-memory streaming, an in-memory file system, and more," said Dmitriy Setrakyan, Vice President of the Apache Ignite project and co-founder of GridGain Systems. 

Unlike other Big Data processing solutions, Apache Ignite is an in-memory computing (IMC) system, where RAM is treated as a primary storage facility (as opposed to being used exclusively for processing). As such, Ignite's memory-first approach is more efficient and faster: with improved system indexes, reduced data fetch time, and no delays in a stream content processing, among other benefits.

"Apache Ignite leverages and integrates a host of Apache projects to solve real-time business issues, including Spark, Hadoop, YARN and Mesos," said Dr. Konstantin Boudnik, Apache Ignite Project Management Committee Mentor and Vice President of Open Source Development at WANdisco. "It's exciting that it is graduating to a top-level project. We look forward to working further with the Apache Ignite community to make more enhancements that will benefit customers with real-time requirements and the need for highest performance and scale from their applications. "

"As the speed of memory continues to outpace the capabilities of even the highest performing disks, the importance of managing large pools of RAM at scale increases," said Roman Shaposhnik, Apache Ignite Mentor, and Director of Open Source at Pivotal. "It is essential to innovate at the same pace and the Apache Ignite community is certainly innovative. The enthusiasm in the area of in-memory computing is unmistakable, and the ASF is where important advances happen. It is exciting to see the work of Apache communities advancing the state of Fast Data with projects such as Apache Ignite, Spark, Geode and Flink."

Apache Ignite meets the growing trend for many enterprises seeking to adopt in-memory computing and replace hard drives as their primary storage system, where speed, superior caching, and strong consistency are key concerns. Ignite's ability to reduce latencies and increase application performance bridges Big Data with 'Fast Data' –bringing highly consistent computation and transactions on large data sets in real time. Additionally, Ignite's flexible programming model means it can be run from anywhere –whether a laptop, a commodity cluster, or a supercomputer– with APIs available for Java, Scala, C++, and .NET/C#. 

"Apache Ignite is a maverick of distributed computing," said Raul Kripalani, member of the Apache Camel Project Management Committee, and Integration/Messaging/Big Data Consultant and Engineer. "Rather than focusing on a single goal, it harnesses the power of multiple JVMs to offer services that no modern application can do without, such as caching, streaming and workload distribution. The team is talented, the documentation is superb and the technology has lots of potential."

"Having been with the project from its inception, I am very excited to see our community rapidly grow and build one of the most scalable, performant, and battle tested in-memory data processing platforms on the market today," added Setrakyan.

Catch Apache Ignite in action at Apache: Big Data Europe on 28-30 September 2015 http://events.linuxfoundation.org/events/apache-big-data-europe/ In addition, members of the Apache Ignite community will be present at the Big Data Innovation Summit (9-10 September/Boston), Strata Hadoop World (29 September–1 October/New York), and JavaOne (25-29 October/San Francisco).

Apache Ignite software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Ignite, visit http://ignite.apache.org/ and https://twitter.com/ApacheIgnite

The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/

Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 550 individual Members and 4,700 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Bloomberg, Budget Direct, Cerner, Citrix, Cloudera, Comcast, Facebook, Google, Hortonworks, HP, IBM, InMotion Hosting, iSigma, Matt Mullenweg, Microsoft, Pivotal, Produban, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ or follow @TheASF on Twitter.

© The Apache Software Foundation. "Apache", "Flink", "Apache Flink", "Geode", "Apache Geode", "Hadoop", "Apache Hadoop", "Hadoop YARN", "Apache Hadoop YARN", "Ignite", "Apache Ignite", "Mesos", "Apache Mesos", "Spark", "Apache Spark", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

# # #

Forest Hill, MD --20 July 2015-- The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache™ NiFi™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache NiFi tackles a very old but increasingly relevant problem, which is how to automate the flow of data between systems. NiFi was built to address critical gaps in traditional systems where other solutions lacked sufficient security, interactivity, scalability, and data lineage.

"We took a project with more than eight years of development in a closed source environment and transitioned it to a very open and collaborative space," said Joe Witt, Vice President of Apache NiFi. "How easy that transition was speaks volumes to the effectiveness of the Incubator process and the community around Apache in general."

Based on the concepts of flow-based programming, NiFi is easy to use, powerful, reliable, and highly configurable. Two important features of NiFi are its powerful user interface and its fine grained data provenance tools. The interface allows users to intuitively understand and interact with the data flow directly in the browser, promoting faster and safer iteration.

The data provenance features allow the user to see how an object flowed through the system, replay it, and visualize what happened to it before and after key stages, thereby simplifying data flows that are often large, complex directed graphs involving transformations, forks, joins, and more.

"NiFi's seamless user interface, robust security features, and powerful data provenance offer a unique set of capabilities for solving the challenges of managing distributed systems," said Rob Bearden, CEO of Hortonworks. "We are proud NiFi participants and congratulate the NiFi community on becoming a top-level Apache project."

"NiFi's well designed, mature API has made our integration process remarkably straightforward," said Mike Bishop, Chief Systems Architect at Prescient Edge. "With it, we're able to track the origin, transformation, and persistence of data throughout our analytic processes."

In addition, NiFi uses a component based extension model to rapidly add capabilities to complex dataflows. Out of the box NiFi has several extensions for dealing with file-based dataflows such as FTP, SFTP, and HTTP integration as well as integration with HDFS. One of NiFi's unique features is a rich, Web-based interface for designing, controlling, and monitoring a dataflow.

"The NiFi user interface and ease of extension have made it extremely easy to get up and running and even customize," said Craig Connel, CTO of Leverege. "It is great that it also easily integrates with other parts of the Apache Big Data world like Spark, Kafka, and Hadoop."

NiFi originated at the National Security Agency (NSA) as Niagarafiles, and was submitted to the Apache Incubator in November 2014 as part of the NSA Technology Transfer Program.

"The contributions we've seen from the community over the past few months are really exciting," added Witt. "It is a good sign that while this project has been around for more than eight years by moving to the ASF we've really only just started." 

Catch Apache NiFi in action at OSCON in Portland, Oregon, on Friday 24 July 2015 http://www.oscon.com/open-source-2015/public/schedule/detail/42463

Apache NiFi software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache NiFi, visit http://nifi.apache.org/ and https://twitter.com/apachenifi

About the Apache Incubator

The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/

Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 550 individual Members and 4,700 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Bloomberg, Budget Direct, Cerner, Citrix, Cloudera, Comcast, Facebook, Google, Hortonworks, HP, IBM, InMotion Hosting, iSigma, Matt Mullenweg, Microsoft, Pivotal, Produban, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ or follow @TheASF on Twitter.

© The Apache Software Foundation. "Apache", "NiFi", "Apache NiFi", "Hadoop", "Apache Hadoop", "Kafka", "Apache Kafka", "Spark", "Apache Spark", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners. 

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Forest Hill, MD --27 April 2015-- The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache™ Parquet™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

"The incubation process at Apache has been fantastic and really the last step of making Parquet a community driven standard fully integrated within the greater Hadoop ecosystem," said Julien Le Dem, Vice President of Apache Parquet.

Apache Parquet is an Open Source columnar storage format for the Apache™ Hadoop® ecosystem, built to work across programming languages and much more:

• processing frameworks (MapReduce, Apache Spark, Scalding, Cascading, Crunch, Kite)
• data models (Apache Avro, Apache Thrift, Protocol Buffers, POJOs)
• query engines (Apache Hive, Impala, HAWQ, Apache Drill, Apache Tajo, Apache Pig, Presto, Apache Spark SQL)

"At Twitter, Parquet has helped us scale our big data usage by in some cases reducing storage requirements by one third on large datasets as well as scan and deserialization time. This translated into hardware savings as well as reduced latency for accessing the data. Furthermore, Parquet being integrated with so many tools creates opportunities and flexibility regarding query engines," said Chris Aniszczyk, Head of Open Source at Twitter. "Finally, it's just fantastic to see it graduate to a top-level project and we look forward to further collaborating with the Apache Parquet community to continually improve performance."

"Parquet's integration with other object models, like Avro and Thrift, has been a key feature for our customers," said Ryan Blue, Software Engineer at Cloudera. "They can take advantage of columnar storage without changing the classes they already use in their production applications."

"At Netflix, Parquet is the primary storage format for data warehousing. More than 7 petabytes of our 10+ Petabyte warehouse is Parquet formatted data that we query across a wide range of tools including Apache Hive, Apache Pig, Apache Spark, PigPen, Presto, and native MapReduce. The performance benefit of columnar projection and statistics is a game changer for our big data platform," said Daniel Weeks, Software Engineer at Netflix. "We look forward to working with the Apache community to advance the state of big data storage with Parquet and are excited to see the project graduate to full Apache status."

"Stripe's data warehouse has been built on Parquet from the beginning," said Avi Bryant, Engineering Manager at Stripe. "Every aspect of our pipeline, from data import to machine learning to adhoc SQL analysis, uses Apache Parquet as the common interchange format."

"I was extremely happy to see Parquet arrive as an Incubator project," said Chris Mattmann, Apache Parquet Incubator Mentor, and Chief Architect, Instrument and Science Data Systems Section at NASA Jet Propulsion Laboratory. "After talking with some in its community there was a real match with this columnar data format technology and its community with the way that we do things here at the ASF. Parquet has had an exemplar Incubation, and the project has big things ahead of it. I am encouraging my Data Science Team at NASA to evaluate it for data representation especially as it relates to our science holdings in Earth, planetary and space sciences, and astrophysics."

Catch Apache Parquet in action at the Hadoop Summit, 9-11 June 2015 in San Jose, California. The Apache Parquet project welcomes contributions and community participation through mailing lists, face-to-face MeetUps, and user events. For more information, visit http://parquet.apache.org/community/

Apache Parquet software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Parquet, visit http://parquet.apache.org/ and https://twitter.com/ApacheParquet

The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/.

Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 500 individual Members and 4,500 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Bloomberg, Budget Direct, Cerner, Citrix, Cloudera, Comcast, Facebook, Google, Hortonworks, HP, IBM, InMotion Hosting, iSigma, Matt Mullenweg, Microsoft, Pivotal, Produban, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ or follow @TheASF on Twitter.

© The Apache Software Foundation. "Apache", "Avro", "Apache Avro", "Drill", "Apache Drill", "Hadoop", "Apache Hadoop", "Parquet", "Apache Parquet", "Pig", "Apache Pig", "Spark", "Apache Spark", "Thrift", "Apache Thrift", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

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Forest Hill, MD –27 January 2015– The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache™ BookKeeper™ has graduated to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache BookKeeper was established in 2011 as a sub-project of Apache ZooKeeper™ (Open Source API for highly reliable distributed coordination) to reliably log streams of records. It serves as a building block for reliable system consistency and recovery, and can be used to turn any standalone service into a highly available replicated service.

With disk/server failure rates up to 10% annually, replication is a must in today's always-on Cloud and Big Data services. One way to build a replicated service is to ensure that all write operations to the service are copied to all replicas; Apache BookKeeper's replicated logging service is well suited for this purpose. A database may have two replicas to ensure availability: if one crashes, the other can continue to serve traffic. However, ensuring that the data in these two replicas is consistent is not an easy problem to solve. Unlike naive solutions that run into problems like deadlock and inconsistency when one or both of the replicas fail, BookKeeper uses a combination of quorum writes, fencing, and, when necessary, outsourcing of consensus to ZooKeeper to ensure no state will be lost in the case of a replica failure. BookKeeper can similarly be applied to different classes of systems, such as messaging systems, filesystems and transaction processing systems.

Apache BookKeeper is highly available (no single point of failure), and scales horizontally as more storage nodes are added. BookKeeper is used in production in many web scale companies. At Yahoo, it is used as the persistence layer for its Cloud messaging infrastructure, which delivers tens of billions of messages in a day. BookKeeper is used at Twitter as the replicated persistence backend for different messaging use cases, and is also used by Huawei as a shared storage in their solution for HDFS Namenode High Availability. 

"We're very proud to have BookKeeper become a Top-Level Project. It is a testament to the hard work that my fellow committers have put in over the years that the ASF would give us their stamp of approval," said Ivan Kelly, Vice President of Apache BookKeeper. "We hope that the increased exposure will bring even more contributions and use cases to the community."

As with all Apache products, Apache BookKeeper software is released under the Apache License v2.0, and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For documentation and ways to become involved with Apache BookKeeper, visit http://bookkeeper.apache.org and https://twitter.com/asfbookkeeper

Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 500 individual Members and 4,500 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Budget Direct, Citrix, Cloudera, Comcast, Facebook, Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, Matt Mullenweg, Microsoft, Pivotal, Produban, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ or follow @TheASF on Twitter.

© The Apache Software Foundation. "Apache", "Apache BookKeeper", "BookKeeper", ApacheCon", and the Apache BookKeeper logo are trademarks of The Apache Software Foundation. All other brands and trademarks are the property of their respective owners.

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Forest Hill, MD –19 January 2015– The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache™ Falcon™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache Falcon is a data processing and management solution for Apache Hadoop™, designed for data motion, coordination of data pipelines, lifecycle management, and data discovery. Falcon provides enterprises higher quality and predictable outcomes for their data by enabling end consumers to quickly onboard their data and its associated processing and management tasks on Hadoop clusters. The platform is successfully deployed across various industries, including advertising, healthcare, mobile applications, software solutions, and technology.

"Apache Falcon solves a very important and critical problem in the big data space. Graduation to TLP marks an important step in progression of the project," said Srikanth Sundarrajan, Vice President of Apache Falcon. "Falcon has a robust road map to ease the pain of application developers and administrators alike in authoring and managing complex data management and processing applications."

Falcon represents a significant step forward in the Hadoop platform by enabling easy data management. Users of Falcon platform simply define infrastructure endpoints, data sets and processing rules declaratively. These declarative configurations are expressed in such a way that the dependencies between these configured entities are explicitly described. This information about inter-dependencies between various entities allows Falcon to orchestrate and manage various data management functions.

"Falcon has evolved over the last couple of years into a mature data management solution for Apache Hadoop with many production deployments proving it to be very valuable for users to manage their data and associated processing on Hadoop clusters," said Venkatesh Seetharam, Apache Falcon Project Management Committee member. 

"As Hadoop usage patterns have matured, the highest value implementations are based on the data lake concept. Data lakes require prescriptive and reliable pipelines," explained Greg Pavlik, Vice President of Engineering at Hortonworks. "Apache Falcon represents the best and most mature --and therefore essential-- building block for modeling, managing and operating data lakes."

"Falcon has enabled our team to incrementally build up a complex pipeline comprised of over 90 processes and 200 feeds that would have been very challenging with Apache Oozie alone," said programmer Michael Miklavcic.

"I began to work on Falcon in my spare time for fun, but it quickly became interesting in relation to my job at Talend", said Jean-Baptise Onofré, Vice President of Apache Karaf and Software Architect at Talend. "As Talend DataIntegration provides features like CDC (Change Data Capture), and data notification, we are in the process of integrating Apache Falcon in Talend products." 

"Apache Falcon's graduation is a milestone for the project and a credit to its contributors. Its open, collaborative development has effected a robust community around software essential to the Hadoop ecosystem," said Chris Douglas, Falcon incubation mentor at the ASF. "By becoming a Top-Level Project, the ASF recognizes its demonstrated ability to self-govern. Congratulations to Falcon's users, to its contributors, and particularly to its new Project Management Committee on this achievement."

Availability and Oversight
As with all Apache products, Apache Falcon software is released under the Apache License v2.0, and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For documentation and ways to become involved with Apache Falcon, visit http://falcon.apache.org/ and @ApacheFalcon on Twitter. 

Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 500 individual Members and 4,500 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Budget Direct, Cerner, Citrix, Cloudera, Comcast, Facebook, Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma, Matt Mullenweg, Microsoft, Pivotal, Produban, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ or follow https://twitter.com/TheASF.

© The Apache Software Foundation. "Apache", "Apache Falcon", "Falcon", "Apache Hadoop", "Hadoop", "Apache Oozie", "Oozie", "ApacheCon", and the Apache Falcon logo are trademarks of The Apache Software Foundation. All other brands and trademarks are the property of their respective owners.

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