Dev Ops for Data Science

Standardize environments across your entire team. Specify a conda environment.yaml, requirements.txt or docker image, and we'll make sure everyone can use it. These environments can be used with Jupyter, Spark and Dask with a single click.

Reproducible Data Science

Saturn automates version control so data scientists never forget to commit. If you're using a versioned data stores like S3 we manage data versioning alongside code versioning, so the science is always reproducible.

Control Costs

Specify cloud cost quotas by individual or team. Alerts and spending limits ensure that you never go over budget, and you always know who is utilizing your resources.

Multiple Cloud Vendors

Don't like cloud lock in? We run on google compute engine, EC2 and Azure. If you get tired of one vendor for any reason, we can move you from one cloud to another.

Pricing

Saturn manages Jupyter, Spark, and Dask deployments so you can focus on data science.

Free Trial

14 Days
  • Use Jupyter in the cloud.
  • Publish jupyter notebooks to the public.
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Basic Plan

$0 plus the cost of compute
  • Use Jupyter in the cloud.
  • Publish jupyter notebooks to the public or select individuals.
  • Scale up to 8 cores, 64 GB of RAM and GPUs.
  • In depth expense reports so you understand your cloud spend.
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Enterprise

  • Use Jupyter in the cloud.
  • Publish jupyter notebooks to the public or select individuals.
  • Scale up to any size you want, GPUs included.
  • In depth expense reports so you understand your cloud spend.
  • Custom environments and configuration for your entire team.
  • One click Spark and Dask clusters.
  • Automatic version control means you can always roll back your work to any point in time.
  • On premise deployment inside your AWS/GCP/Azure account or VPC.
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