Yeedu Turbo Engine is a re-engineered C++ execution layer that preserves Spark compatibility while delivering vectorized, cache-optimized, SIMD-accelerated performance achieving 4–10× faster execution and up to 80% lower compute costs.
Turbo Engine accelerates CPU-bound Spark workloads through a C++-based execution layer that uses vectorized operators, SIMD processing, and efficient CPU cache utilization. This hardware-aligned runtime delivers 4–10× faster execution while reducing overall compute spend by 60–80%, without requiring any changes to your Spark code.
Rising data platform costs are among the biggest challenges enterprises face today. Yeedu provides a transformative solution that drastically reduces expenses and eliminates this critical barrier, empowering organizations to focus on driving innovation and achieving their goals.
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Traditional data platforms charge based on cloud resource consumption, such as the number of cores and hours used. The more you consume, the more they profit - leaving the problem of high cloud costs unaddressed. Using Yeedu turns their inertia into your benefit.
We are thrilled to explore the vast possibilities that Yeedu introduces to our enterprise. With its cloud-agnostic compute management plane, Yeedu enables us to scale our computational tasks to the required dimensions efficiently. This capability allows us to optimize our cloud compute costs effectively compared to other available tools in the market, while consistently maintaining high performance standards.
Based on what we see in production we anticipate up to 65% annual cost savings with Yeedu.
