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Cambridge Semantics and MarkLogic Partner to Advance Semantic-Driven Data Management


Cambridge Semantics, a provider of data solutions driven by semantic web technology, has formed an alliance with MarkLogic, which provides enterprise NoSQL database technology. According to the vendors, the partnership will will help organizations to rapidly store, access, visualize and act upon diverse data to create scalable, semantic-driven data management and investigative analytics applications at a fraction of the time and cost of traditional approaches.

The initial focus of the alliance will be in the areas of pharmaceuticals, life sciences, financial services and the public sector because these face some of the most complex and challenging data requirements. The jointly developed solutions, created with customers and partners, will help IT departments and their business users to access all of their diverse data more easily and quickly, while also adhering to the governance and security mandates.

“In this big data era, organizations need help in better understanding how to extract value from all of their data," said Alok Prasad, president of Cambridge Semantics. "The ability to link, contextualize and add meaning to data is what separates industry leaders from the rest of the pack.  We believe our graph-based approach to managing and analyzing data based upon our Anzo Smart Data Platform, combined with MarkLogic’s industry leading NoSQL operational database, offers a compelling new value proposition for the industry.”

“By combining the MarkLogic Enterprise NoSQL database and Cambridge Semantics Smart Data Platform," added  said David Ponzini, SVP, Corporate Development, MarkLogic, "we deliver new opportunities for organizations to turn massive amounts of data, in any structure, streaming at real-time velocity, into valuable and actionable information that can be used for competitive differentiation and better decisions in a very timely manner.”

For more information about MarkLogic, visit www.marklogic.com.

For more information about Cambridge Semantics, visit www.cambridgesemantics.com.


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