Dataguise Tackles Security for Hadoop-in-the-Cloud Jun 12, 2015
Big data security firm Dataguise is scaling up its data discovery and protection platform into the cloud with the release this week of DgSecure 5.0.
The platform is designed to help organizations scale discovery and data protection automation across both traditional data repositories and Big Data architectures on-premises and across cloud platforms.
“While enterprises today seek to unlock the potential of big data for their organizations, many have serious concerns around lack of visibility and security,” said Nik Rouda, senior analyst, Enterprise Strategy Group. “The complexity and scale of these environments demands an end-to-end option that identifies where sensitive data is located, who has access to it, and the means to lock it down — all without impacting performance.”
The new version of DgSecure adds the ability to run virtually in the cloud to support Hadoop environments, including visibility for big data repositories in AWS, Amazon EMR, Azure and HD Insight. It was also enhanced with access and entitlement capabilities by integrating existing data discovery functions with Access Control List (ACL) permissions defined in Apache Sentry, Apache Ranger or MapR ACLs, for complete entitlement control within Hadoop. Additionally, there’s now multi-cluster support from a single integrated dashboard with certified integrations for Cloudera, Hortonworks, MapR, and Pivotal HD.