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Speedata Solutions for the Public Sector

  • Apache Spark 3.0+

    Revolutionizing Apache Spark 3.0+ with Zero-Code Change Integration Speedata is a plug-in solution to modernize your existing Apache Spark workloads. Our revolutionary Analytics Processing Unit (“APU”) is engineered to seamlessly integrate with Apache Spark 3.0+, bringing unprecedented performance improvements, cost savings, and the simplicity of zero-code change acceleration to your data-intensive Apache Spark workloads. Speedata’s APU is an accelerated backend for Spark SQL and DataFrame operations. If an operation is not supported by the APU it falls back to the standard CPU version.


    Unmatched Performance Acceleration:

    • Speedata's APU is specifically architected for accelerating data analytics workloads. We support Apache Spark, offering up to a 100x boost in Spark performance at the hardware layer. The APU has a unique ability to decompress, decode, and process millions (or even billions) of columns from Parquet or ORC files per second, eliminating the traditional I/O, compute, and capacity bottlenecks that hamper performance in conventional processors.

    Dramatic Cost Savings:

    • Our APU technology not only accelerates your data analytics but also brings significant financial advantages:
      • An average 50x improvement in performance-to-cost across various use cases, including financial services, pharmaceuticals, adtech, and hyperscale cloud operations.
      • Up to 91% capital reduction, 94% space savings, and 86% energy savings compared to traditional CPU and GPU setups.

    Zero-Code Change Integration:

    • Designed with the future in mind, Speedata's APU offers a seamless, codeless integration process. Deployed on a PCIe board, it is capable of executing a broad range of tasks in parallel, handling any data type and field length. Most notably, the APU automatically intercepts work previously processed by the CPU and reroutes it to leverage hardware acceleration. This means minimal overhead for data engineers, who no longer need to migrate their workloads or manage the complexities of testing and debugging for modest speed improvements from processors not designed with analytics in mind. If an operation is not supported by the APU it falls back to the standard CPU version.

    Embrace the Future with Speedata:

    • With Speedata's APU, projects that were once unfeasible due to underutilized data teams and missed SLAs can now be prioritized, ensuring no more opportunities are missed. Our technology is not just a solution to the decline of Moore's Law; it's a leap into a future where analytics can operate at the speed of data, transforming the way we access, process, and analyze information. Join us on this journey and unlock the potential of your data with Speedata's cutting-edge solutions for Apache Spark 3.0+ and beyond.