Leading Big Data Companies Simplify Enterprise Development for Rich Data-Centric Applications
SAN FRANCISCO and PALO ALTO, Calif. – April 21, 2014 – Concurrent, Inc., the enterprise data application platform company, and Hortonworks, the leading contributor to and provider of enterprise Apache™ Hadoop®, today expanded their strategic partnership to simplify enterprise application development for data-centric applications. The Cascading SDK will now be integrated and delivered with the Hortonworks Data Platform (HDP). In addition, Hortonworks will certify, support and deliver Cascading™, the most widely used application development framework for data applications on Hadoop.
As enterprise adoption of Hadoop continues to rise, users are looking to reliably operationalize their data. This brings a new set of challenges for enterprises – ranging from leveraging developer best practices, data application scalability and data systems integration. The Concurrent and Hortonworks partnership underscores the timely importance of simplifying enterprise application development for these new data-centric applications.
Concurrent and Hortonworks Expand Strategic and Technical Partnership
Concurrent and Hortonworks share a deep commitment to accelerating Hadoop adoption across the enterprise, empowering developers to quickly build rich data-centric enterprise applications on Hadoop. The partnership benefits users by combining the robustness and simplicity of Cascading with the reliability and stability of Hortonworks Data Platform.
As part of today’s news, Hortonworks will certify, support and deliver the Cascading SDK with HDP. Hortonworks’ commitment to the Cascading community and users extends beyond redistribution of the Cascading SDK, also guaranteeing the ongoing compatibility of Cascading-based applications across future releases of HDP with continuous compatibility testing and direct HDP customer support for Cascading.
Upcoming releases of Cascading will also support Apache Tez. Tez is a significant development in the Hadoop ecosystem, enabling projects to meet demands for faster response times and delivering near real-time big data processing. Tez is a general data-processing fabric and MapReduce replacement that provides a powerful framework for executing a complex topology of tasks. In addition, Tez executes on top of Apache™ Hadoop® YARN, a sub-project of Hadoop which separates resource management and processing components. YARN fundamentally enables a broader array of interaction patterns for data stored in HDFS beyond MapReduce and makes Hadoop 2.0 a more general data processing platform.
In addition, thousands of companies that already use Cascading, Lingual, Scalding or Cascalog, or any other dynamic programming language APIs and frameworks built on top of Cascading, have the flexibility to seamlessly migrate to newer versions of HDP that support Apache Tez, with zero investment required to take advantage of this improved processing environment.
To learn more about how Concurrent and Hortonworks accelerate big data application development with Cascading and HDP, register for a joint webinar, taking place Tuesday, April 22 at 10 a.m. PDT, by visiting https://hortonworks.com/webinars.
“Hadoop unleashes insight and value from enterprise data as a core component of the modern data architecture, integrating with and complementing existing systems. By expanding our alliance with Concurrent and integrating with the Cascading application platform, Hortonworks’ customers can now drive even more value from their enterprise data by enabling the rapid development of data-driven applications.”
— John Kreisa, vice president of strategic marketing, Hortonworks
“As more enterprises realize they are in the business of data, the need for simple, powerful tools for big data application development is a must-have to survive in today’s competitive climate. Our deepened relationship with Hortonworks furthers our commitment to Hadoop and drives new innovation around the development of enterprise data applications.”
— Gary Nakamura, CEO, Concurrent, Inc.
Hortonworks develops, distributes and supports the only 100% open source Apache Hadoop data platform. Our team comprises the largest contingent of builders and architects within the Hadoop ecosystem who represent and lead the broader enterprise requirements within these communities.
The Hortonworks Data Platform provides an open platform that deeply integrates with existing IT investments and upon which enterprises can build and deploy Hadoop-based applications.
Hortonworks has deep relationships with the key strategic data center partners that enable our customers to unlock the broadest opportunities from Hadoop.
For more information, visit www.hortonworks.com
About Concurrent, Inc.
Concurrent, Inc. is the leader in Big Data application infrastructure, delivering products that help enterprises create, deploy, run and manage data applications at scale. The company’s flagship enterprise solution, Driven, was designed to accelerate the development and management of enterprise data applications. Concurrent is the team behind Cascading™, the most widely deployed technology for data applications with more than 150,000 user downloads a month. Used by thousands of businesses including eBay, Etsy, The Climate Corp and Twitter, Cascading is the de facto standard in open source application infrastructure technology. Concurrent is headquartered in San Francisco and online at http://concurrentinc.com.
Kulesa Faul for Concurrent, Inc.
Keith Giannini or Anna Vaverka