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QlikTech Launches Global QlikView Scalability Center

Originally published March 31, 2010

QlikTech, a leading business intelligence company, announced the launch of the QlikView Scalability Center in Lund, Sweden. The Scalability Center is designed to help global enterprise customers understand how their QlikView environment will perform with large data sets and user numbers in enterprise deployments. As an Intel ISV partner, QlikTech has the opportunity to test its performance on the latest chipsets before they are brought to market. QlikTech R&D and its newly formed Scalability Center will continue to keep pace with the significant advances in computing speed, including leveraging the "Nehalem" chip design in the Intel Xeon 7500 processor series launched yesterday.

The QlikView Scalability Center has been instrumental in allowing key customers to establish metrics needed to optimize enterprise wide deployment of a QlikView application. These metrics include the performance profiles of individual deployments, hardware requirement forecasting, and the impact of adding more users or analysis areas and alternative configuration and deployment scenarios.

QlikView's highly scalable in-memory architecture benefits greatly from hardware advances because its in-memory associative technology leverages two important computer hardware trends: 64-bit computing, which increases memory capacity, and multi-core central processing units (CPUs) which allow for parallel processing of complex calculations. Because of these capabilities, QlikView is able to store data in-memory and perform real-time calculations on a massive volume of data from disparate sources at unprecedented speed. The platform integrates with nearly all data sources and can scale from a single user to enterprise deployments without requiring significant additional infrastructure.

"The QlikView Scalability Center was formed as it became clear that the testing needs of our enterprise customers now demand a dedicated resource," said Henrik Been, Executive Director, Products. "Here we are able to show how we can scale linearly with Intel's latest multi-core offerings, and prove why industry analysts often call QlikView the most performant Business Intelligence platform."

QlikView has been specifically optimized to provide end users with a high-speed, click-as-you-think, analytic experience. This is achieved by:

  • Spreading the calculation load across all available CPU cores rather than simply running algorithms in a sequence
  • Optimizing work load across many concurrent users, with each user's calculations using the full power of the underlying server
  • Caching results across users so the most commonly used calculations are performed the least number of times making the application smarter and faster over time

"In-memory BI eliminates the disk input/output bottleneck, and additional speed improvements will come from widening the next bottleneck: overloaded CPUs. Processor clock speeds are no longer increasing - modern CPUs have more cores, but the individual cores are not much faster than their predecessors. So throughput is improving, but the performance available for individual tasks is no longer improving dramatically," said Barney Finucane analyst at BARC, publisher of The BI Verdict. "Taking maximum advantage of multicore CPUs - with eight or more cores per CPU - is a good way for in-memory BI tools to increase performance, allowing BI applications to harness the entire power of the CPU. A customer test center is a good way for QlikView to prove its performance claims of getting to data so unusually fast by optimizing performance of the newest releases of CPU power."