June 5, 2014

Dataguise Partners with MapR

SAN JOSE, Calif., June 5 – Dataguise, the leading provider of Big Data security and protective intelligence solutions, today announced at Hadoop Summit the immediate availability of the Dataguise DgSecure data protection platform with the MapR Sandbox for Hadoop. The Dataguise Security Sandbox, integrated with the MapR Sandbox for Hadoop, is available as a free download from the MapR App Gallery. The integration with MapR allows organizations needing to protect sensitive data and address compliance and data governance in Apache Hadoop to get up and running in minutes. Developers and administrators can test drive Dataguise’s data-centric protection, unique data discovery and automated masking and encryption techniques in conjunction with MapR. The integrated sandbox is packaged in a self-contained environment for enterprises to use MapR with enhanced, comprehensive visibility of where sensitive data moves, changes, and gets accessed across all workloads in pre-production and production Hadoop environments.

“The combination of Dataguise with MapR addresses the compliance and data protection issues surrounding sensitive data in Hadoop,” said Tomer Shiran, VP of product management, MapR Technologies. “As a long-standing MapR partner and pioneer in Hadoop security, Dataguise’s knowledge and expertise enables our joint customers to deploy Hadoop into production environments with the most granular data-centric security available in the market.”

The MapR Sandbox for Hadoop is a fully functional Hadoop cluster with tutorials, demo applications, and browser-based user interfaces to let developers and administrators get started quickly with Hadoop. The Dataguise Security Sandbox complements and extends security in the MapR Distribution, enabling MapR customers to discover and protect sensitive data and address compliance concerns with running Hadoop in production.

The Dataguise Security Sandbox includes the following capabilities:

  • Policy Definition: Select pre-built policy templates like PCI, PII and HIPAA. Or, click-and-pick to easily define custom policies with no coding or scripting.
  • Data Discovery: Automatically find and track sensitive data in Hadoop, whether at rest or in motion, in structured or unstructured format.
  • Data Protection: Efficiently and effectively implement data-centric data masking, redaction and encryption strategies, down to the most granular data element level.
  • Analytics: View dashboards and reports on sensitive-data discovery, data lineage and protection results to assess security risks and facilitate compliance and data governance.

“Organizations are quickly finding that compliance and data protection concerns must be addressed up front in order to run Hadoop in production,” said Patty Nghiem, vice president of marketing and business development at Dataguise. “Now, with the integrated sandbox from MapR and Dataguise, our mutual prospects can dive in and experience directly how easy it is to deploy a Hadoop cluster and discover, mask, encrypt and monitor sensitive data for enterprise Big Data projects.”