Lower cloud costs, accelerate runtimes, and simplify infrastructure for Apache Spark on AWS, with no code changes
The Cloud
Compactor:
The Sync difference –
Sync automatically reconfigures and reschedules big data and ML jobs to make the cloud easier, faster, and cheaper.








Latest news:
Databricks driver sizing impact on cost and performance

Blog, Case Study
Databricks driver sizing impact on cost and performance
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Is Databricks’s autoscaling cost efficient?

Blog, Case Study
Is Databricks’s autoscaling cost efficient?
Read More
Sync Autotuner for Apache Spark – API Launch!

Blog
Sync Autotuner for Apache Spark – API Launch!
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Disney Sr. Data Engineer User Case Study

Case Study
Disney Sr. Data Engineer User Case Study
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Auto Optimize Apache Spark with the Spark Autotuner

Case Study
Auto Optimize Apache Spark with the Spark Autotuner
Read More
Optimize Databricks clusters based on cost and performance

Case Study
Optimize Databricks clusters based on cost and performance
Read More
What
we believe:
Let developers code
Developers shouldn’t be wasting time optimizing cloud infrastructure
The cloud is inefficient
Current schedulers are drastically inefficient, costing time and money
Business-led infrastructure
Business goals should inform infrastructure decisions, not the other way around