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!
Read More
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
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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
Committed to the
platforms you love:
coming soon
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