MapR Beefs Up Security Features for its Upgraded Big Data Platform

By CIOReview | Thursday, March 10, 2016

FREMONT, CA: MapR Technologies has upgraded its Big Data platform with added support for security, data governance, and performance that include platform-wide Access Control Expressions (ACEs), and selective auditing. Along with the improved security features, it comes with advances for containers including persistent storage and integrated resource management that lets them easily run stateful, containerized applications, such as those in Docker. The latest version incorporates Hadoop with Spark, storage, NoSQL, and streaming capabilities on a unified cluster. This allows MapR customers to transform their business with access to global real-time data applications for gaining significant competitive advantage.

MapR has strengthened its big data security in the new version through ACE security controls, which guarantees easy access of data to specific groups. ACEs can now be implemented across the platform or at the whole-volume level. The latter capability enables with the permissions, to be set on an entire volume, thus ensuring that there is no possibility of accesses being mistakenly granted outside a protected volume. Furthermore, selective auditing gives auditors the ability to optimize system performance by choosing the relevant activities to audit and analyze.

“We’ve listened closely to our customers who drive their business on MapR and delivered the industry’s first and only converged data platform built on technology innovations exclusive to MapR,” said Anoop Dawar, Vice President, Products–Hadoop and Spark, MapR Technologies. “Customers gain a strong competitive advantage with platform-wide real-time capabilities to process and analyze data instantly so they can focus their teams on delivering business insights, not on managing infrastructure”.

In addition, the new MapR Posix client offers a fully distributed, secure, reliable, read-write file system to Docker containers, to allow organizations deploy data-oriented applications. It also safeguards critical information, without the need for manual intervention, through application or server failures or container movement across servers.