10 IT Companies to Watch in 2010
"Pervasive's so-far-little-recognized jewel, DataRush parallel data processing engine and platform. There are not many such engines and as we advance further into the world of multicore CPUs, every vendor that has a parallel engine is likely to experience a strong demand. Parallel engines improve processing speeds by one or two orders of magnitude, bringing down query responses (for example) from hours to minutes." — Robin Bloor, Hurwitz analyst
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Change in Business Paradigm
“ The impressive speed-ups achieved by Pervasive DataRush are important… because they change the way a company can do business. Processing and understanding data on the fly, rather than overnight, allows you not just to do something faster, but also to do something different.” — John Barr, Research Director, 451 Group
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Speed is Everything
“ The built-in parallelism of Pervasive DataRush seamlessly scales across all cores and gave us a 490x improvement in performance.” — Dave Herman, President and CEO, PeopleForce
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Improved Business Efficiency
“ With the speed and efficiency of the new master data management system, we will be able to offer a greater degree of accuracy as our data is validated against standards, and cleansed of extraneous and redundant entries.” — Lisa Wallerstein, VP of Marketing and Information Services for Commonwealth Business Media
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Utilizing Hardware
“ Benchmarking tests show dramatic performance improvements and near-linear scaling when Pervasive DataRush takes advantage of multicore HP Integrity servers and blades.” — Lorraine Bartlett, Director, Worldwide Marketing, Business Critical Systems, Hewlett-Packard
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Data is a Strategic Resource
“ With this incredibly fast automated preprocessing, TC3 is poised to expand our addressable market and tackle even the largest data challenges our customers throw at us – at speeds 30x faster than we could formerly deliver.” — Paul Horvath, Former TC3 Chief Technology Officer
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Hidden Complexity
“ Pervasive DataRush takes almost all the complexity out of writing and running parallel-processing applications for massive data crunching.” — Eric Bruno, JavaLobby
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Quick ROI
“ Their customer had developed a SQL query to avoid presenting duplicate decision pairs in selecting which member of a possible duplicate set should “win.” The query ran in 3 hours on 14 million matched pairs. Using DataRush, Jim Falgout’s team coded an operator in DataRush to perform the logic previously handled in the SQL, and reduced the runtime to only 22 seconds.” — John West, HPCWire
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Bridging into the Multicore Revolution
“ DataRush addresses an important issue: the gap between what hardware vendors are promising to deliver by way of MCO hardware and what the software industry is able to deliver in terms of commercial applications to exploit the hardware.” — Peter Dzwig and Russel Winder, Concertant Principals, IT-Director |
