Let computers provision computers

We’re on a mission to
radically transform the way developers control cloud infrastructure for data/ML workloads

The Sync
difference:

The cloud compactor –

Sync automatically reconfigures and reschedules big data and ML jobs to make the cloud easier, faster, and cheaper.

Latest news:

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

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Provision Databricks clusters based on cost and performance

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Disney Sr. Data Engineer User Case Study

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Duolingo saves 55% on EMR AWS Production Job Costs

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Globally optimized data pipelines on the cloud — Airflow + Apache Spark

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Provisioning – The Key to Speed

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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

What we’re building:

Autotuner

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

Orchestrator

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

Committed to the
platforms you love:

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