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Low maintenance, high performance
Before Saturn, I wasted a ton of time trying to manage my team's JupyterHub. What began as a fun little project quickly turned into a maintenance nightmare. Saturn eliminated all the hassle. The environment just works. Within minutes we can go from one small, basic instance to multiple 64-core servers crunching big data. What's even more exciting is Saturn keeps getting better. New and useful features keep showing up, making it easier for my team to do great work. I'm looking forward to working with Saturn for a long time to come!
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Fast Setup, Easy to Use
I used Saturn Cloud for a Machine Learning project that trained a network intrusion classier using PCAP data. In a few minutes I was coding in a jupyter notebook without having to worry about data privacy, and collaboration was simple. The ease of setup and computational power available make this a great collaboration tool, and I will definitely be using again.
Puts enterprise level power in the hands of a team of academics
I'm a data scientist working with a team of marine chemists on a series of peer review journal articles. SaturnCloud made getting them set up and going a snap.
We now have computational power equivalent to that I have used at a Fortune 50 company at a tiny fraction of the cost and with a much faster time to get up and going.
We would have used SaturnCloud for the built in collaboration tools even if we didn't need the computational power. Versioning is easy, even for people who have no experience at all with Git.
We have moved our analytics from a hodgepodge of Matlab, Excel spreadsheets and statistics software to a reproducible pipeline in Python.
Super easy set up on AWS + Dask in one click
I was surprised at how easy it was to get Saturn up and running via the AWS marketplace. It took me about 10 minutes from subscribing -> setting up -> email with user admin password -> spinning up a Jupyter Notebook. I'd imagine the value here is Dask and it was cool to see how easy it was to start up a Dask Cluster to be used for a Jupyter Notebook instance. I'm excited to start moving some of my local projects onto Saturn Cloud's AWS instance because I used to worry about having my data in their public cloud, but now know I have the privacy and security of my own VPC + can use Dask easily for the projects with larger datasets.