SYS-CON MEDIA Authors: Liz McMillan, Carmen Gonzalez, Zakia Bouachraoui, Roger Strukhoff, David Linthicum

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Univa and MapR Technologies Partner to Bring Enterprise-Grade Workload Management to Hadoop Customers

Univa, the Data Center Automation Company and home of Grid Engine, today announced a partnership with MapR Technologies, the Hadoop technology leader, to integrate Univa Grid Engine with the MapR enterprise platform. The partnership enables customers to leverage the MapR Distribution for Hadoop in conjunction with Univa Grid Engine capabilities of policy control management and infrastructure sharing to run mixed workloads with insightful enterprise reporting and analytics.

“Univa Grid Engine is already a key product in the Big Data infrastructure mix, but with this partnership we are providing customers with integration capabilities to the unrivaled enterprise-class MapR platform for Hadoop,” said Rahul Jain, VP of Big Data, Univa. “This was a natural marriage as MapR provides the most advanced enterprise-grade capabilities for Hadoop, while Univa operationalizes mission-critical applications in mixed workloads to reach its maximum potential and accelerate Hadoop deployments into production.”

The MapR enterprise-grade platform supports a broad set of mission-critical and real-time production uses and brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, databases and streaming applications in one unified Big Data platform. Univa Grid Engine is the most widely deployed, distributed resource management software platform today and supports the new breed of enterprise and Big Data applications that businesses depend on in order to enable successful management in the enterprise data center.

“This announcement is further evidence of the importance of integrating Big Data into enterprise environments,” said Bill Bonin, VP of business development, MapR Technologies. “This partnership lets customers deploy our highly differentiated Hadoop distribution in combination with Univa’s platform, giving customers a compelling, enterprise workload management solution that is flexible and powerful.”

The Univa Grid Engine platform combined with the MapR Distribution for Hadoop enables enterprises to deploy a best-in-breed Hadoop solution with enterprise policy controls, such as different end-users securely accessing the cluster to advance fair share rules. This alleviates the barriers-to-entry in the traditional enterprise environment with features like support for mixed workloads, scalability and disaster recovery. These advance resource and policy controls allow enterprises to accelerate Hadoop deployments into production.

To learn more about this exciting partnership, please join us for webinar on August 20, 2013. http://www.mapr.com/company/events/webseminars/webinar-registration-hadoop-multi-tenancy-and-cluster-resource-scheduling-at-scale.

About MapR Technologies:

MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified Big Data platform. MapR is used across financial services, retail, media, healthcare, manufacturing, telecommunications and government organizations as well as by leading Fortune 100 and Web 2.0 companies. Amazon, Cisco and Google are part of MapR’s broad partner ecosystem. Investors include Lightspeed Venture Partners, Mayfield Fund, NEA, and Redpoint Ventures. Connect with MapR on Facebook, LinkedIn and Twitter.

About Univa:

Univa, the Data Center Automation Company, is the leading provider of automation and management software for computational and big data infrastructures. Our products and global enterprise support give our customers the power to manage their entire computational space, no matter how big or where it is deployed. Univa is headquartered in Hoffman Estates, IL. For more information, please contact us at 800-370-5320, [email protected] or www.univa.com.

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