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April 21, 2014

Concurrent and Hortonworks Join Forces

SAN FRANCISCO and PALO ALTO, Calif., April 21 — 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.

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