EMC yesterday unveiled Chorus, a new collaboration application for managing its Greenplum big data technology, announcing plans to send it to the open-source community during the second half of the year.
The company also confirmed reports that it acquired Pivotal Labs, a developer of software for enterprise, mobile, and web businesses using the Agile software development methods.
EMC's new Greenplum Chorus is a social media-based collaboration tool targeting teams developing big data tools to get useful insights from ever-increasing amounts of stored data.
EMC in 2010 acquired data warehousing developer Greenplum, and has since made Greenplum the centrepiece of its big data management strategy.
While Greenplum Chorus has been in development for some time using Agile development tools, the company was falling behind in its plans, Gelsinger said. As a result, it engaged Pivotal Labs to speed up development, and in the process discovered a lack of big data applications.
As a result, he said, EMC decided to acquire Pivotal Labs to start a wave of innovation. "We see there will have to be predictive big data apps going forward," he said.
Given the amount of open-source development going on around big data, EMC also decided to hand Greenplum Chorus to the open-source community sometime in the second half of 2012, Gelsinger said.
The move will be EMC's first time to contribute a project to the open-source community, Gelsinger said. However, it is not the first time EMC has worked with open source. The company currently works with projects such as Hadoop, the open-source big data project.
Pat Gelsinger, president and COO of EMC's information infrastructure products, said companies are seeing big data more and more at the core of their businesses.
"Our agenda today is to make this available to any business," Gelsinger said. "And not just the Fortune 200 or Fortune 2000 (businesses)."
EMC nearly a year ago unveiled the Greenplum HD Data Computing Appliance, a purpose-built, high-performance, Hadoop appliance for co-processing both structured and unstructured data within a single solution. The company also introduced two Hadoop-based software applications for big data management.
This article originally appeared at crn.com
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Issue: 347 | March 2016