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Orders-of-magnitude hardware acceleration for Spark and Presto without code changes.


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Data continues to grow at a much faster rate than the rate at which CPUs are getting faster.  While throwing more servers at the problem seems like a logical solution,  scaling out creates a new set of headaches: from slow networks requiring an upgrade, to operational expenses growing out of control.


At Speedata, we believe a better approach relies on domain-specific hardware accelerators that can provide orders of magnitude speedups (and cost savings) for workloads in a particular domain.  At Speedata, we have designed such an accelerator for Data Analytics workloads.

Speedata’s Analytics Processing Unit (APU) is the first processor architected from the ground-up with the goal of accelerating Data Analytics workloads. The focus on accelerating data analytics, down to the level of the silicon, allows us to offer orders-of-magnitude acceleration compared to the alternatives. Speedata provides these benefits seamlessly to developers and end users, without requiring code changes.


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To learn more about our revolutionary architecture,

click on “Book a Demo” and we will email you a copy of our technical whitepaper. 



This chart shows the average speed-up factor achieved across several TPC-DS queries, compared to running queries on a CPU or GPU. Individual queries and workloads often show acceleration factors greater than 100x, depending on the computational intensity of the specific workload.

To find out the expected speedup for your specific workloads,

get in touch with us by clicking on “Book a Demo”.


Boost Top Line

Faster time-to-insights

Afford answers to previously impractical questions

Lower Costs

Process more data with fewer servers

Dramatically cut data center opex

Increase Productivity

Turn long running jobs into interactive workflows

Test new ideas in a fraction of the time

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