Pervasive DataRush

This blog is syndicated from the Pervasive DataRush site.

Is Intel On To Something?

If you ask anyone on the DataRush team, they could tell you more than you wanted to know about how we are an innovator in massively parallel processing.  They could tell you about use cases and fast runtimes and how DataRush is the bees knees for data-intensive applications.

But what else would you expect to hear?  Instead of telling you how great DataRush really is, we went to Intel, a technology leader, and asked to demonstrate the speed of our parallel processing engine on their hardware.  Next thing we know, we’re testing on a brand new Intel Xeon processor 7500 series and the results made our team extremely enthusiastic.  In fact, our results were superior to those of clusters:  nearly 2 terabytes an hour! 

Intel must have like it because they just released a success story about our accomplishment.
 

 

Not that we’re bragging, but here’s some of what Intel had to say:

Better performance on simpler infrastructure.  The MalStone benchmarks were developed to measure performance on cloud infrastructures, and these single-server results are competitive with or superior to those of compute clusters.

Scalability to many cores. As shown in the chart, “MalStone B Benchmark Scalability with Pervasive DataRush,” the solution scales well as the number of execution cores increase. 

Simpler implementation.  The Pervasive DataRush solution architecture is designed explicitly to be applicable to virtually any type of application, abstracting multicore scalability away from the rest of the program logic. 

 

Together, Intel and Pervasive DataRush, are tackling massive data challenges on a small footprint.  Processing two terabytes an hour opens up a door to endless possibilities that is being recognized by technology leaders, developers, and end users everywhere. 

Don’t take our word for it – but maybe Intel is on to something…

 

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May 18, 2010 10:06 AM

Pervasive DataRush said:

Gordon Brown posted a blog on Redfin commenting on a presentation by Jeff Hammerbacher discussing the

June 10, 2010 10:56 AM