Aster Data Systems Joins Informatica’s Inform Partner Program

July 22, 2008 - PRLog -- Redwood City, Calif. – June 22, 2008 – Aster Data Systems, a proven innovator in massively parallel processing (MPP) databases for data warehousing and analytics, today announced a partnership with Informatica Corporation , the leading independent provider of data integration software and services. Aster, now a member of INFORM, Informatica’s Partner Program, will provide its nCluster analytic database to work in conjunction with Informatica’s data integration products, to enable customers to rapidly collect and analyze high volumes of data for deep analysis and reporting.

“Combining Aster nCluster with Informatica’s suite of leading data integration software, allows organizations to quickly integrate and analyze massive amounts of data and use it to optimize business operations.  We are delighted to welcome Aster Data to the INFORM Partner Program,” said Harry Gould, senior vice president, Worldwide Alliances, Informatica.

“This partnership shows our commitment to high performance data warehousing as we continue to build our ecosystem with leading data integration and business intelligence companies,” said Mayank Bawa, CEO and co-founder of Aster Data Systems.  “By partnering with a leading company like Informatica, we bring together Aster’s strength in easy to manage, Internet-scale data warehouses with Informatica’s data integration expertise to offer customers an easier way to manage and analyze rapidly growing data volumes within their organization.”

About Aster nCluster
Aster nCluster transforms off-the-shelf commodity hardware into a powerful, self-managing, and scalable analytic database capable of handling the most demanding data warehouse environments. The key to the Aster nCluster architecture is a series of patent-pending algorithms and processes that control the placement, partitioning, balancing, replication, and querying across clusters of intelligent nodes.

About Informatica
Informatica Corporation  is the leading independent provider of data integration software and services. With Informatica, organizations can gain greater business value by integrating all their information assets from across the enterprise. More than 3,200 companies worldwide rely on Informatica to reduce the cost and expedite the time to address data integration needs of varying complexity and scale. For more information, call +1 650 385 5000 (1 800 653 9871 in the U.S.), or visit www.informatica.com.

About Aster Data Systems
Aster Data Systems is a proven innovator in massively parallel processing (MPP) databases for data warehousing and analytics – bringing deep insights on massive data analyzed on clusters of commodity hardware. Co-founded by three colleagues in the Stanford Computer Science Ph.D. program, Aster’s nCluster database provides patent-pending innovations in scalability, manageability, availability, and analytics.  Aster is headquartered in Redwood City, California and is backed by Sequoia Capital, Cambrian Ventures, and First-Round Capital.  For more information please visit us at http://www.asterdata.com, or via phone at 650-232-4400.


Aster Data Systems, Aster nCluster and the Aster logo are registered trademarks of Aster Data Systems.  All other brands and trademarks referenced herein are acknowledged to be trademarks or registered trademarks of their respective holders.  Statements herein are based on normal operating conditions and are not intended to create any implied warranty of merchantability for fitness for a particular purpose.  Aster Data Systems reserves the right to modify at any time with out notice these statements, our services, products, and their warranty and performance specifications.

MEDIA CONTACTS:
Leah McLean for Aster Data Systems      
Voce Communications        
(415) 848-2583
lmclean@vocecomm.com            

Deborah Wiltshire
Informatica Corporation
+1 650 385 5360
dwiltshire@informatica.com

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Aster Data Systems is a proven innovator in high-performance analytical databases, bringing deep insights on massive data analyzed on clusters of commodity hardware.