#41 · Primary category: Business Intelligence & Analytics
sail
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
Project last updated:08/29/26
GitHub Stars
3.3K
Forks
211
Contributors
45
License
Apache-2.0
Why we included this project
Teams stuck paying the JVM overhead of a big Spark cluster have a simpler way out now. Sail is a Rust compute engine that implements the Spark Connect protocol, so PySpark code and DataFrame queries run against it without rewrites. SQL analytics, batch ETL, and streaming all run on the same runtime, which also handles compute-heavy AI jobs. For teams that keep lakehouse tables in Delta Lake or Iceberg, that means holding onto the familiar API while cutting infrastructure cost and startup latency. It is worth piloting on a real workload before committing to it.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
spark
Apache Spark - A unified analytics engine for large-scale data processing
metabase
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
streamlit
Streamlit — A faster way to build and share data apps.
duckdb
DuckDB is an analytical in-process SQL database management system
ToolJet
ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀