Bodo: Faster Python Now

Access a highly-scalable analytics engine for Python within an integrated collaborative environment.

Scale prototypes to petabyte-scale parallel-processing production environments without any tuning or re-coding.

In Saturn Cloud's collaborative environment and computing resources, data scientists can now access bodo.ai for extreme performance Python, all in one place.

Saturn cloud dashboard computer

Your tech stack should work for you, not the other way around.

Saturn Cloud’s pre-built tools allow data science teams to collaborate and scale easily, without locking users into patterns.

The platform encourages the workflow you already have, while providing an environment where you don’t need to rely on dev sources or manage compute environments. Stay self-sufficient, while being able to collaborate and share work more efficiently.

Bodo offers a parallel compute platform providing extreme scale and speed, but with the simplicity and flexibility of using native Python.

In contrast to using libraries and frameworks, Bodo is a new type of compiler offering automatic parallelism and high efficiency surpassing 10,000+ cores. Bodo can also be used natively with analytics packages such as Pandas, NumPy, SciKit Learn, and more.

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Maciej Buckcznski

Maciej Buckcznski

Technology Director, Darkhorse Analytics
Saturn makes it easy for our analysts to spin up Jupyter servers of any type on demand. The flexibility in being able to define custom docker images, startup scripts, etc. is phenomenal. I love the integration with Prefect Cloud, as it lets us seamlessly run our data ingestion pipeline using the same code and in the same environment as our analysts do their work.
Daniel B

Daniel B

Lead Course Designer
Saturn Cloud makes my work so much easier. When I sit down at the beginning of the day, I just want my environment to work. I want my favorite packages installed and available on demand. I want it to be easy to scale my workspace and have it shut down automatically when I'm done. Saturn Cloud solves all of that. Their customer service is also top-notch.
Seth Weisberg

Seth Weisberg

Principle ML Scientist, Senseye
Taking runtime down from 60 days to 11 hours is such an incredible improvement. We are able to fit in many more iterations on our models. This has a significant positive impact on the effectiveness of our product, which takes many iterations to perform at the standard necessary for our customers.

Make large-scale analytics projects a breeze with massive speed and productivity