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Concurrent, Inc. Teams With Hortonworks to Bring Rapid Application Development and Deployment to Hadoop

SAN FRANCISCO, CA--(Marketwired - Jun 18, 2013) - Concurrent, Inc., the enterprise Big Data application platform company, today announced that Hortonworks has certified its Cascading application framework against the Hortonworks Data Platform (HDP). The certification ensures that enterprises can take advantage of Concurrent's Cascading application framework and HDP to ease Hadoop Big Data application development and bring machine-learning applications to the masses.

Together, with the simplicity and flexibility of Cascading and the reliability and stability of the HDP, companies can rapidly build, test and deploy new data transformation and refinement, data processing, analytics and machine-learning applications. Enterprises can now leverage existing skill sets, core competencies and product investments by carrying them over to HDP via the standards-based technology -- Java, ANSI SQL and machine-learning standards. Analysts and data scientists familiar with these can now easily run predictive data models at scale and integrate ETL, data preparation and predictive analytics in the same application, greatly reducing time to production and unlocking access to large Hadoop data sets.

HDP is the only 100-percent open source Apache Hadoop®-based data management platform. HDP allows users to capture, process and share data in any format and at scale. Built and packaged by the core architects, builders and operators of Hadoop, HDP includes all of the necessary components to manage a cluster at scale and uncover business insights from existing and new big data sources.

Cascading is the most widely used and deployed application framework for building robust, enterprise Big Data applications on Hadoop. Recognized companies, including The Climate Corporation, eBay, Etsy, FlightCaster, iCrossing, Razorfish, Trulia, TeleNav and Twitter, are using Cascading to streamline data processing, data filtering and workflow optimization for large volumes of unstructured and semi-structured data. Cascading is also at the core of popular language extensions including PyCascading (Python + Cascading), Scalding (Scala + Cascading) and Cascalog (Clojure + Cascading) -- open source projects sponsored by Twitter. Cascading has become the most reliable and repeatable way of building and deploying Big Data applications.

Supporting Quotes
"Hadoop adoption continues to grow as organizations look to take advantage of new data types and build new applications for the enterprise. By combining our enterprise-grade data platform and unparalleled growing ecosystem with the power, maturity and broad platform support of Concurrent's Cascading application framework, we have now closed the modeling, development and production loop for all data-oriented applications." 
-Shaun Connolly, Vice President, Corporate Strategy of Hortonworks

"Cascading is committed to driving simplicity into application development on Hadoop. By partnering with Hortonworks, we are combining the power of two premier Big Data technologies to deliver a holistic solution that further enables enterprises to drive differentiation through data."
-Gary Nakamura, CEO of Concurrent, Inc.

Supporting Resources

About Concurrent, Inc.
Concurrent, Inc.'s vision is to become the #1 software platform choice for Big Data applications. Concurrent builds application infrastructure products that are designed to help enterprises create, deploy, run and manage data processing applications at scale on Apache Hadoop.

Concurrent is the mind behind Cascading™, the most widely used and deployed technology for Big Data applications with more than 75,000+ user downloads a month. Used by thousands of data driven businesses including Twitter, eBay, The Climate Corp and Etsy, Cascading is the de-facto standard in open source application infrastructure technology. Concurrent is headquartered in San Francisco. Visit Concurrent online at http://concurrentinc.com.