Oracle Buys DataRaker for 'Big Data' Analysis

Oracle is planning to buy DataRaker in a move that will give it a cloud-based platform for analyzing data from smart meters used by energy utilities. Terms of the deal, which was announced Thursday, weren't disclosed.

Oracle is planning to buy DataRaker in a move that will give it a cloud-based platform for analyzing data from smart meters used by energy utilities. Terms of the deal, which was announced Thursday, weren't disclosed.

Slideshow: 8 Real-World Big Data Deployments

Slideshow: 9 Open Source Big Data Technologies to Watch

Smart meters and the massive amounts of information they generate are frequently linked with the industry buzzword "big data," which typically refers to unstructured data formats. Oracle's pending acquisition of DataRaker ties into a broad movement by software vendors to sell products that customers can use to crunch these data sets for valuable insights.

DataRaker's technology will be combined with Oracle's application offerings for utilities, according to a FAQ document on the deal released Thursday.

It has a number of "high-performance, pre-packaged applications that can address many complex analytical challenges currently being faced by the utilities industry," according to the FAQ.

For example, DataRaker can help customers shorten the time it takes to handle calls, cut the number of field service appointments and give customers more personalized information, the FAQ adds.

DataRaker's staff will be rolled into Oracle Utilities. Its software is deployed at a number of utilities, covering more than 17 million smart meters, according to an Oracle presentation.

Chris Kanaracus covers enterprise software and general technology breaking news for The IDG News Service. Chris' email address is Chris_Kanaracus@idg.com

To comment on this article and other CIO content, visit us on Facebook, LinkedIn or Twitter.
Download the CIO October 2016 Digital Magazine
Notice to our Readers
We're now using social media to take your comments and feedback. Learn more about this here.