infoTECH Feature

March 26, 2012

RainStor Joins IBM in the Big Data Market

RainStor asserted that it is going to merge the powers of its own Big Data Analytics on Hadoop products and InfoSphere BigInsights to address the growing big data challenges.

A recent study by research firm IDC (News - Alert) revealed that the Big Data technology and services market is growing at 40 percent a year and by 2015 will reach $16.9 billion and it is seven times the overall information technology and communications business growth rate. By designing and developing solutions that can manage and analyze multi-structured enterprise data with volume and velocity, one can reap numerous advantages.

RainStor claimed that it is experimenting with the IBM (News - Alert) solution to enable faster, more flexible analytics on multi-structured data, without the need to move data out of the Hadoop environment. RainStor’s Big Data Analytics on Hadoop product provides users a database that runs natively on the Hadoop Distributed Files System (HDFS) residing on the nodes. The solution is capable of enabling users to take advantage of both structured and unstructured data and its de-duplication and compression capabilities also offer the potential to lower cluster size and cost, while improving analytic performance.

IBM InfoSphere BigInsights is built on the Apache Hadoop software framework, the open source technology for reliably managing large volumes of structured and unstructured data. It simplifies and brings down the costs of managing and analyzing massive volume, variety and velocity of data that consumers and businesses create every day.

IBM acknowledged that RainStor provides a powerful database that runs natively with Hadoop and is complementary to its Big Data platform. The combined technology will help customers extract insight from their Big Data in a more optimized way.

“RainStor complements IBM business intelligence and Big Data technologies by enabling data to be kept accessible on demand at the lowest possible cost. RainStor's compression magnifies the efficiency and performance of IBM servers and storage, allowing customers to meet their growing Big Data challenges now and into the future,” stated Ramon Chen, VP of Product Management for RainStor, in a press release.





Edited by Jennifer Russell
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