QlikTech, a world-leading provider of in-memory reporting and analysis solutions, announced the completion of joint testing with HP of QlikView 7.5 on HP Integrity and ProLiant servers.

QlikTech and HP have worked extensively together to optimize QlikView for the dual-core Intel Itanium 2 and Xeon 64-bit platforms. The recent benchmarking, which is available at http://www.qliktech.com/hpwhitepaper, was completed using a sample data set containing 1 billion records and exhibited world-class performance.

"We believe access to the information necessary to be successful is a fundamental right of every employee," said Anthony Deighton, vice president of marketing for QlikTech. "The pairing of QlikTech's patented in-memory business intelligence technology and HP Integrity servers provides the opportunity for organizations to offer analysis and information broadly, allowing everyone to contribute to building world-class organizations."

"HP and QlikTech are enabling customers to achieve a better return on their IT investment by allowing them to bring the speed and simplicity of in-memory analysis to large data set and user communities," said Don Jenkins, vice president of marketing, Business Critical Servers, HP. "The increased speed, performance capabilities and application flexibility that results from the pairing of Integrity and ProLiant servers and QlikTech's business intelligence solution has the potential to change the way companies think about information management."

The dual benchmarking test evaluated the performance of QlikView, QlikTech's flagship in memory analysis solution, while running on HP Integrity and ProLiant servers. The testing revealed multiple significant findings including:

QlikView running on HP servers can load 1 billion records. Tested platforms achieved 1 billion record loads with instant to near-instant response times. Moreover, performance testing showed that HP Integrity servers (Superdome) are uniquely equipped to handle extremely heavy loads of large applications (500 million and 1 billion) with many concurrent users.

QlikView's performance scales linearly with data. QlikView scales very linearly as more data is added into the application. Fifty concurrent users were tested clicking every 5 seconds on two data sets; on 30 and 100 million records and on 500 million and 1 billion records.

QlikView running on HP servers scales to handle a large number of users. 1,000 simulated concurrent users were tested on a medium sized application of 30 million records. Test results prove that simultaneous users can be easily supported without sacrificing response times.

QlikView's caching features improve performance. As users click on selections, the results are cached in memory so they do not need to be recalculated if the same selection is made. It is clear that the caching features in QlikView significantly improve the end user response rate over time.

"Business intelligence enables organizations to improve their business results, and organizations need to find ways to deploy large scale business intelligence platforms at a lower cost, more quickly, and that are easy to use," said Andreas Bitterer, vice president of research at Gartner. "The shift to 64-bit computing and its elimination of current memory constraints signifies a big step towards a real-time approach to business analysis and enables users to rapidly examine large amounts of data with virtually no limit."

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