Database Acceleration Software, Hardware, Services and Research Papers

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DB Schenker uses the HP Master Plan as a template for Master Data Management by Hewlett-Packard Limited

January 03, 2012 - (Free Research) This case study details how a master data plan allowed DB Schenkey employees to reliably access data from a single, authorised source.

(CASE STUDY)

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Trial Download: LiteSpeed for SQL Server Enterprise by Quest Software

January 18, 2012 - (Free Research) Your Microsoft SQL Server databases keep growing, but your storage hardware – and budget – aren’t. Check out this free trial download of powerful, easy to use backup and recovery software that gets the maximum from your current hardware – and does it all under budget.

(TRIAL SOFTWARE)

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Accelerate Application Performance with Flash Storage by Oracle Corporation

March 23, 2011 - (Free Research) Storage performance and capacity demands are increasing rapidly, creating storage input/output challenges for many enterprises running applications that need fast response times. This Webcast will address those challenges and explore a proven solution: Oracle's Sun Flash storage portfolio.

(WEBCAST)

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ORC International Database Manageability and Productivity Cost Comparison Study: Oracle Database 11g Release 2 vs. IBM DB2 Enterprise 9.7 by Oracle Corporation

September 06, 2011 - (Free Research) Conducted by the research firm ORC International, this study found that performing common database management tasks for Oracle Database 11g R2 took less time and fewer resources than performing the same tasks for DB2 Enterprise 9.7. Although funded by Oracle, the study was independently conducted by ORC.

(ANALYST REPORT)

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Distributed Caching: Why It Matters For Predictable Scalability on the Web, and Where It’s Proving Its Value by Oracle Corporation

December 20, 2010 - (Free Research) This paper explains why it’s imperative for any Web-based organization to learn about the distributed caching technology and Oracle Coherence Data Grid technology to combat the increasing demand on the database.

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