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
Is Databricks’s autoscaling cost efficient?
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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
Optimize Databricks clusters based on cost and performance
Case Study
Optimize Databricks clusters based on cost and performance
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
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:
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