Saturn Cloud
The fully managed DS/ML/AI platform.
Saturn Cloud is a data science workspace fully managed in your AWS account or hosted by us. Work in the cloud with any IDE, including Jupyter and the R IDE. Scale like you never knew was possible. Collaborate with teams. Run jobs, deployments, build dashboards and more.
Comparing Saturn Cloud and JupyterHub
Platform Features | Saturn Cloud | JupyterHub |
|---|---|---|
Care and Feeding | ||
Set Up | With Saturn Cloud you can start coding in minutes. Or install it into your AWS account, fully automated from the AWS marketplace | Complex installation, requiring understanding of IAM, Kubernetes and VPCs |
Maintenance | Saturn Cloud is fully managed. Updates are rolled out automatically | You are responsible for keeping all services running, updating Kubernetes versions, and applying security patches |
Tools & Workflow Flexibility | ||
IDEs | Versatile with built-in JupyterLab and R as well as easy SSH access which allows use of PyCharm and VS Code | Does not natively support SSH connections. R is only supported via the Jupyter R kernel |
Scalability | Vertically scalable with arbitrary instance types, and horizontally scalable with Dask clusters | No horizontal scalability |
Production | Saturn Cloud supports deployments for hosting models, dashboards and APIs, as well as scheduled jobs. | None |
Pricing | ||
Free Access | Users have free access to GPU-based instances as well as Dask clusters. For as many months as users want, they have 30 hours per month of either 8 CPUs and 64GB RAM or 4 CPUs and a GPU. No credit card is required. | None |
Paid Access | Saturn Cloud hosted or deployed in your AWS account is available with pay as you go pricing. | Users are responsible for underlying EC2 as well as EKS fees paid to AWS. |