Komprise Enables Search and Virtual Data Lakes across NetApp ONTAP

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According to a recent press release, “Komprise, the industry-leader in intelligent data management, expanded its support of NetApp platforms with two new capabilities. Komprise Deep Analytics now supports NetApp CloudVolumes ONTAP® as a source, extending existing support of on-premise NetApp environments, and Komprise Data Migration now includes a Beta release of Amazon S3-based data migration to the NetApp StorageGRID®, to simplify the migration of data across cloud platforms.”

Krishna Subramanian, COO at Komprise, noted, “Our mission is to ensure that every company, regardless of how or where they store their data, can gain performance improvement and cost reduction benefits from understanding how data is used and storing it in the appropriate place… By mapping, analyzing and automatically moving data usage at the file level, our customers are decreasing data storage costs by up to 70% and reducing the time and resource needed to identify data for analytics projects. Extending our partnership with NetApp means that now all NetApp customers, whether cloud or on-premises users, can benefit from Komprise’s expertise, and existing customers can gain more from the platform.”

The release continues, “Komprise Deep Analytics, first released in September 2019, provides a single place to search across storage silos and creates a virtual data lake of just the files that fit a customer’s specific search criteria. Deep Analytics extends its support of NetApp ONTAP sources to now also include NetApp CloudVolumes ONTAP. Customers now have a single place to view, find, and tag data regardless of where it lives, and export this virtual data lake to any analytics application or destination of their choice, such as AWS Lambda. The resulting data set can be operated on as a discrete entity – all the permissions, access control, security and metadata are kept intact as this data lake moves.”

Read more at PR Newswire.

Image used under license from Shutterstock.com

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