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RainStor Enhances Hadoop Big Data Analytics with Archive App

24/06/2014 by


Hadoop has made real-time Big Data analytics easier than ever, but what about analytics for historical data that is stored for long periods of time?  That’s the challenge RainStor is aiming to address with a new Archive Application for Hadoop 2.0.

The new app comes as part of RainStor 6, the latest version of the company’s flagship product for data analytics.  With this enhancement, RainStor can provide a new level of analytics performance for Hadoop-based data, according to the company.

“RainStor has been delivering analytical archive solutions to the world’s largest enterprises for a decade, and with RainStor 6, you can now take advantage of those capabilities running on Hadoop 2.0,” said Mark Cusack, chief architect at RainStor, in a statement.  “We believe RainStor goes a step further to securing Hadoop as a ‘first-class citizen’ in the enterprise.”

Beyond making RainStor’s platform more user-friendly, the Archive App takes advantage of efficiencies in Hadoop to improve analytics performance. According to the company, “the new archive application features XQuery for hierarchical data and documents, and extends analytics support to SQL 2003. Users benefit from a 10-100X-query boost using native SQL against a mix of structured, semi-structured data and documents in the same cluster.”

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