Optimize

cloud clusters

at scale

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Lower cloud costs, accelerate runtime, and simplify infrastructure for Apache Spark on AWS, with no code changes

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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:

Sync Autotuner for Apache Spark – API Launch!

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Infrastructure Optimization Innovator Sync Computing Raises $15.5M

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Top 3 trends we’ve learned about the scaling of Apache Spark (EMR and Databricks)

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Optimize Databricks clusters based on cost and performance

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Disney Sr. Data Engineer User Case Study

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Auto Optimize Apache Spark with the Spark Autotuner

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See the groundbreaking technology that makes this all possible

Our Core Tech

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

What we’re building:

Autotuner

Apache Spark configuration made simple: Just pick your desired cost and runtime, and we’ll auto-populate the rest.

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Orchestrator

Schedule, launch, and tune thousands of complex jobs in multi-tenant environments to get the most efficient use of the cloud.

About Orchestrator

Committed to the
platforms you love:

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