Make your Spark jobs run faster and cheaper
Akamas optimizes configurations to improve big data performance and resilience

Benefits
Big Data, Smarter Tuning
Optimizing Spark jobs and their infrastructure to boost speed and cut costs is more art than science. Whether on-prem or in the cloud, the countless configuration options and data-driven nature of big data make performance highly sensitive to both workloads and datasets. Akamas uses AI to uncover tradeoffs and recommend configurations that reduce resource usage, enhance performance, and meet SLOs—keeping costs under control.
-20%
FASTER JOBS
Reduction in average job execution time
-80%
LESS TUNING
Savings in engineering time for manual tuning
-50%
COST SAVINGS
Decrease in cost with the same performance
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Experience the benefits of Akamas autonomous optimization.
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