Autotuner

Automatically configure Apache Spark clusters to hit your
performance goals

Sync Autotuner simulates the cost and runtime of your Apache Spark job on alternative cloud infrastructure.

 

With a single click, you can pick the right infrastructure to meet your goals.

Predict cost & runtime

See your estimated cost and runtime before you submit your job runs

No code changes

Autotuner uses logs you already generate and doesn’t touch your source code

See Results immediately

Cost and runtime gains are seen after your next job run

Read our case studies:

Top 3 trends we’ve learned about the scaling of Apache Spark (EMR and Databricks)

See Case Study

Disney Sr. Data Engineer User Case Study

See Case Study

Provision Databricks clusters based on cost and performance

See Case Study

Duolingo saves 55% on EMR AWS Production Job Costs

See Case Study
5X
Faster
80%
Lower Cost

How it works

Upload a log from an existing Spark job

Choose your desired cost and runtime

Launch your preferred configuration to see immediate results

Devops

Hit your cost and performance goals without refactoring code or bugging developers

Data Engineers

See how your code performs and costs at scale, before you submit

CTO, CIO, & CFOs

Level up your engineers instantly with PhD level analysis to accelerate productivity and reduce costs

Committed to the
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Get started in minutes

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