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Photo Release -- Big Data -- Ready, Set, Go! New SGI(R) DataRaptor(TM) With MarkLogic(R) Database Is Having Big Data For Lunch

FREMONT, Calif., Oct. 15, 2012 (GLOBE NEWSWIRE) -- MarkLogic Corporation, provider of the enterprise NoSQL database, and SGI (Nasdaq:SGI), the trusted leader in technical computing and provider of Hadoop® Big Data solutions, today announced the SGI® DataRaptor™ with MarkLogic® database. An integrated and optimized hardware and software solution, SGI DataRaptor is designed to make it faster and easier for organizations to generate reliable, scalable and secure Big Data results.
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The SGI(R) DataRaptor(TM) with MarkLogic(R) database
The SGI(R) DataRaptor(TM) with MarkLogic(R) database is an integrated and optimized hardware and software solution, designed to make it faster and easier for organizations to generate reliable, scalable and secure Big Data results.

A photo accompanying this release is available at http://www.globenewswire.com/newsroom/prs/?pkgid=15225

SGI DataRaptor is ideally suited for Big Data analysis challenges, sophisticated search and rapid development of applications in financial services, public sector and media and entertainment. The appliance integrates the MarkLogic® enterprise-grade NoSQL database and SGI systems to allow companies and organizations to capture more data and do more with it. Standards-based hardware configurations designed specifically for the MarkLogic database are factory-integrated and tested so that SGI DataRaptor delivers everything needed to support Big Data applications in a single system that is plug-and-play and can be up and running, delivering results in hours, not days.

MarkLogic delivers a powerful and trusted enterprise-grade NoSQL database that enables organizations to turn any and all data into valuable and actionable information. Key features include ACID transactions, horizontal scaling, real-time indexing, high availability, disaster recovery, government-grade security, and built-in search. SGI DataRaptor allows organizations to spend less time sizing up an infrastructure, deploying software and managing hardware and more time building business relevant applications.

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