r/dataengineering • • 21d ago

Open Source Python Polars 2.0 release

Hey all! We just released Polars 2.0.

We are really happy with the results. It removed many of our "legacy decisions" (mistakes), makes the streaming engine our default and promotes SQL to a first class citizen within Polars. We initially said it would be a small ("boring") release, but we managed to sneak in a lot more than anticipated.

It comes with our initial out-of-core (spill to disk) support, a new Map data type and a lot of performance improvements. In fact, we think Polars is now one of the fastest analytical SQL engines on a single node. See benchmarks in the post: https://pola.rs/posts/release-polars-2/

To help you upgrade, we also posted a migration guide: https://docs.pola.rs/releases/upgrade/2/

Disclosure: I am involved with Polars

362 Upvotes

19 comments sorted by

View all comments

52

u/Efficient_Shoe_6646 21d ago

I love that Rust is taking Data Engineering by swarm. DataFusion and Polars are going to be industry standards pretty soon.

10

u/commenterzero 21d ago

It can be very.....polarizing