The mission of Sail is to unify stream processing, batch processing, and compute-intensive (AI) workloads. Currently, Sail features a drop-in replacement for Spark SQL and the Spark DataFrame API in single-host settings.

Sail is available as a Python package on PyPI. You can install it using pip.

# Quick install
pip install pysail

# Install from source for best performance
# rustup (https://rustup.rs/) and protoc are required
env RUSTFLAGS="-C target-cpu=native" pip install pysail -v --no-binary pysail

You can follow the Getting Started guide to learn more about Sail.

The documentation of the latest Sail version can be found here.

Contributions are more than welcome!

Please submit GitHub issues for bug reports and feature requests.

Feel free to create a pull request if you would like to make a code change. You can refer to the development guide to get started.

Check out our blog post, Supercharge Spark: Quadruple Speed, Cut Costs by 94%, for detailed benchmark results.

See the Support Options Page for more information.