Simplify How You Process and Analyze Big Data

Turn to Pervasive DataRush...

    • If you process a massive amount of data
    • If your current approach to preparing quality data doesn't scale
    • If you need a high throughput, cost efficient strategy to performing analytics
    • If you wish you could deploy your solution on a single multicore system

Pervasive DataRush is a parallel dataflow platform that eliminates performance bottlenecks in big data preparation and analytics.

Pervasive DataRush fully leverages the parallel processing capabilities of multicore processors and SMP systems to deliver unmatched performance without having to resort to the complexity and costs of a large cluster. 

Simplify Your Big Data Problems





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 White Paper 

The Bloor Group:  The Parallel Computing Imperative.  Why we need it, how it works and the benefits it delivers.

The advent of multicore chips need parallel processing to deliver the power they embody.  The compute density on CPUs now increases every 18 months entirely through the doubling of processor cores.  For that reason, parallel processing will soon become mainstream. In this paper, we discuss the different technical strategies that are available to take advantage of multicore chips, including explanations of the technical strategies used by Pervasive DataRush and the Open Source Hadoop.  [Download Now]

Why Pervasive DataRush?

Scalable.  Dynamically scale your performance with increased core counts. Add more cores and your application's performance increases!

High Throughput.  Parallel dataflow technology enables fast, deep analysis of large data sets with no limit to input size.

Cost Efficient.  Get the highest possible performance from commodity multicore servers and SMP systems.

Easy to Implement.  Allows fast implementation while hiding the complexity of parallel programming.

Extensible.  A fully extensible platform so you remain in control of development.

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Pervasive DataRush Processes
2TB an Hour
with Intel - Read More!