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

Trusted by industry leaders worldwide

Big Data Applications
Big Data Applications
Big Data Applications

Blog

Tech deep dives, product news, and Akamas stories – all in one place

See for Yourself

Experience the benefits of Akamas autonomous optimization.
No overselling, no strings attached, no commitments.