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 case studies:

Disney Sr. Data Engineer User Case Study

Case Study

Read More

Optimize Databricks clusters based on cost and performance

Case Study

Read More

Auto Optimize Apache Spark with the Spark Autotuner

Case Study

Read More
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


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


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

Get started in minutes

Already using Sync? Get in touch with any questions, feature suggestions, requests for deeper product integration.