Centrify Adds Hadoop to Server Identity Management SuiteCentrify Adds Hadoop to Server Identity Management Suite
Centrify, in conjunction with big data companies MapR, Hortonworks and Cloudera, hopes to bring major changes to the way enterprises handle Hadoop security, data privacy and user authentication. This week, it introduced what it is billing as the channel's first comprehensive identity-management solution for Hadoop.
February 18, 2015
Centrify, in conjunction with big data companies MapR, Hortonworks and Cloudera, hopes to bring major changes to the way enterprises handle Hadoop security, data privacy and user authentication. This week, it introduced what it is billing as the channel’s first comprehensive identity management solution for Hadoop.
Noting that the Hadoop market is continuing to grow rapidly, with Allied Market Research predicting that it will account for more than $50 billion of business by 2020, Centrify said current identity management and security solutions for Hadoop do not provide the rigorous protection that companies require for auditing and compliance purposes when they put Hadoop into production environments.
That is why Centrify Server Suite 2015, which the company released Feb. 18, implements extensive identity management for Hadoop, in addition to the equivalent tools for traditional databases the company offered previously. In particular, the platform introduces the following key identity management functionality for Hadoop:
Integration of identity management infrastructure such as Active Directory within the Hadoop environment, eliminating the need for a separate, Hadoop-specific solution.
By extension of the above, single sign-on that includes Hadoop logins.
Automation of credential management between machines.
Tracking of user activity on Hadoop, allowing administrators to monitor who is using which data, and produce better auditing reports.
Centrify has certified its solution with MapR, Hortonworks and Cloudera, the three major Hadoop distributors. The company’s Server Suite 2015, which supports Linux and Windows, is available immediately, with pricing starting at $385 per server—not a trivial expense, to be sure, but one that many enterprises may deem essential as they move more and more critical data to Hadoop.
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