Concurrent, Inc. Enhances Mass Enterprise Big Data Adoption with Intel® Data Platform

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Cascading Certified Compatible with Intel Data Platform to Deliver Powerful, Secure Big Data Application Development on Hadoop

SAN FRANCISCO – March 26, 2014 – Concurrent, Inc., the enterprise Big Data application platform company, today announced its compatibility with the Intel® Data Platform. The move combines the power of Cascading, the most widely used and deployed application platform for building robust enterprise Big Data applications on Hadoop, with all the performance, manageability and security features of the Intel Data Platform to drive powerful, reliable enterprise Big Data application development on Apache™ Hadoop®.

As enterprises continue to rapidly adopt Hadoop to manage, drive and leverage insights into data sets, there is an ever-growing need for a cost-effective, scalable Big Data platform for easily building data-centric applications. With its intuitive API, Cascading fulfills this mission-critical need by allowing developers to leverage existing skillsets, investments and systems to build enterprise-class applications on Hadoop. With more than 150,000 downloads a month, Cascading is compatible with all popular Hadoop distributions, including Hadoop 2 and YARN.

As Hadoop applications leverage an enterprise’s most valuable asset – its data, a secure infrastructure is crucial. Enter the Intel Data Platform, which incorporates and builds on an open source software platform to provide distributed processing and data management for enterprise applications analyzing massive amounts of diverse data. Built from ‘the silicon up,’ the Intel Data Platform features up to 30x boost in Hadoop performance with hardware-enabled encryption, along with networking and IO optimizations that ensure maximized performance for Big Data deployments.

This certification offers the right fit for businesses seeking to make the most of their Big Data by combining the productivity benefits of Cascading with the security, performance and manageability advantages of Intel Data Platform. As more and more businesses find themselves in the business of data, Cascading with the Intel Data Platform represents another leap forward for enterprise Big Data professionals to tap into the Big Data gold mine.

Supporting Quotes

“The Intel Data Platform provides a platform for Big Data professionals to conduct secure, simple and quick next-generation analytics on massive amounts of data. The combination of the Intel Data Platform with Cascading offers customers a foundation for businesses to realize the transformational opportunity of their Big Data.”

-Jobi George, Director of Big Data Software Product & Channels, Intel’s Datacenter Software Division

“Today’s announcement demonstrates Concurrent’s continued mission of making enterprise data application development easy for the masses and enabling businesses to operationalize their data. Now our users can rely on the Intel Data Platform’s next-generation analytics and secure infrastructure combined with all the power and benefits of Cascading to drive business differentiation.”

-Gary Nakamura, CEO, Concurrent, Inc.

Supporting Resources

About Concurrent, Inc.

Concurrent, Inc. delivers the #1 application development platform for Big Data applications. Concurrent builds application infrastructure products that are designed to help enterprises create, deploy, run and manage data applications at scale on Apache Hadoop™.

Concurrent is the team behind Cascading™, the most widely used and deployed technology for Big Data applications with more than 150,000+ user downloads a month. Used by thousands of 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 and online at http://concurrentinc.com.

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 922-7287
concurrent@kulesafaul.com

Intel is a registered trademark of Intel Corporation in the United States and other countries.

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