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
Is Databricks’s autoscaling cost efficient?
Read More
The top 6 lessons learned why companies struggle with cloud data efficiency
Blog
The top 6 lessons learned why companies struggle with cloud data efficiency
Read More
Sync Autotuner for Apache Spark – API Launch!
Blog
Sync Autotuner for Apache Spark – API Launch!
Read More
Disney Sr. Data Engineer User Case Study
Case Study
Disney Sr. Data Engineer User Case Study
Read More
Optimize Databricks clusters based on cost and performance
Case Study
Optimize Databricks clusters based on cost and performance
Read More
Auto Optimize Apache Spark with the Spark Autotuner
Case Study
Auto Optimize Apache Spark with the Spark Autotuner
Read More
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
CTO, CIO, & CFOs
Level up your engineers instantly with PhD level analysis to accelerate productivity and reduce costs
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