Autotuner

Optimize Apache Spark configurations to hit your performance goals

Continuously monitor and optimize with the Autotuner API

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 latest blogposts:

Is Databricks’s autoscaling cost efficient?

Blog, Case Study

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The top 6 lessons learned why companies struggle with cloud data efficiency

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Sync Autotuner for Apache Spark – API Launch!

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Disney Sr. Data Engineer User Case Study

Case Study

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Optimize Databricks clusters based on cost and performance

Case Study

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Auto Optimize Apache Spark with the Spark Autotuner

Case Study

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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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