Commvault to Embed Analytics Engine in Data Platform

Mike Vizard

Most data in the enterprise is distributed in a way that makes it difficult for organizations to turn it into actionable intelligence. Centralizing all that data in a way that an analytics application can effectively consume is often cost prohibitive.

Commvault at a Commvault Go 2017 conference today announced that in 2018 it will be adding a portfolio of analytics applications along with a software development kit to the Commvault distributed data management platform.

Based on the Solr enterprise search software and an implementation of the Apache Spark in-memory framework curated by Lucidworks, Commvault CEO N. Robert Hammer says the analytics engine built into the Commvault Data Platform will enable IT organizations to apply advanced analytics and machine learning algorithms wherever data is stored.

“Analytics is the new table stakes,” says Hammer.

The Commvault Data Platform makes use of a Universal Dynamic Index to create a virtual data repository that makes it simpler to both manage and move data across a hybrid IT environment. Commvault also announced today that it has formalized support for the Google Cloud Platform as a target platform for data protection and archival purposes. Commvault already supports Amazon Web Services (AWS), Microsoft Azure and Oracle Cloud.

In a similar vein, Commvault also unfurled today a Commvault Endpoint Data Protection as a Service offering, a cloud-based implementation of the Commvault Data Protection Platform managed by Commvault as a cloud service designed specifically for endpoints such as Windows, Mac and Linux. Commvault does not support iOS or Android.

In general, Commvault is trying to advance distributed data management across two axes. The first is a distributed instance of its platform in the form of either Commvault Hyperscale Software that is simpler to deploy on an x86 server or a physical appliance provided by Commvault. The second is to flatten the data storage environment by eliminating the need to move data into dedicated repositories for running analytics applications. The degree to which Commvault can achieve those two goals naturally remains to be seen. But the one thing that is clear is that pressure to converge all the data silos strewn across the enterprise has never been greater.


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