Workload

Optimized

Apache Spark

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:

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

Blog

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Sync Autotuner for Apache Spark – API Launch!

Blog

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Optimize Databricks clusters based on cost and performance

Case Study

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Disney Sr. Data Engineer User Case Study

Case Study

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Auto Optimize Apache Spark with the Spark Autotuner

Case Study

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See the groundbreaking technology that makes this all possible

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:

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