Scale Python Using Dask
Data scientists can jump into hosted Notebooks and write Python as they normally would, then scale up to Dask clusters with just 1-click.
Are your Python data science workloads too slow?
Get a fully managed service utilizing Dask
Subscribe to Saturn Cloud
Saturn Cloud enables data scientists to work at scale using the tools they know best: Python, Jupyter, and Dask
Share Custom Environments
Saturn users can customize and share docker images by providing environment.yml, requirements.txt, or a bash script without knowing docker.
Deploy into Production
Once something is working, Saturn turns it into a kubernetes production deployment. These can be dashboards, machine learning models, or scheduled workflows with Prefect.
Reproducible Data Science
All of this runs with the same environment, eliminating the “well it works on my computer” problem.
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Scalable Python For Faster Data Science
Data science teams can leverage cloud-based Dask to easily scale from single to multiple machines, optimize memory, and compute usage to maximize local resources.
Supported Libraries
Pricing Information
The pricing below is for Saturn Cloud software only. It does not include the pricing for any required AWS resources.
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