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title: Polars — Company announcement | daily.dev
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# Polars — Company announcement

**[Polars Blog](https://daily.dev/sources/polars)** · 6 min read · 0 upvotes · 0 comments

## Summary

The creator of Polars, the fast Rust-based DataFrame library, announces the founding of a company to build a distributed compute platform around it. The startup raised roughly $4M in seed funding led by Bain Capital Ventures, with co-founder Chiel Peters joining from Xomnia. Polars will remain open-source and MIT-licensed, with the company focused on cloud connectors, caching, and enterprise scalability. The post also covers Polars' origin story, growth to 19,000 GitHub stars and 6 million downloads, and design philosophy contrasting it with pandas and Python-based DataFrame tools. The company is hiring Rust developers and seeking design partners.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://pola.rs/posts/company-announcement>

## Questions this post answers

### Why is Polars faster than pandas for DataFrame operations?

Polars is written from scratch in Rust as a vectorized OLAP query engine with a built-in query optimizer, rather than wrapping numpy like pandas does. Pandas relies on numpy, which is a poor fit for non-numeric data like strings and structs, forcing it to store boxed Python objects and run single-threaded due to the GIL. Polars instead uses lazy evaluation and multi-core execution to fully utilize modern hardware.

_Comparing DataFrame libraries for a data pipeline is easier with technical breakdowns like this on daily.dev._

### Who founded the company behind the Polars DataFrame library and how much funding did it raise?

The company behind Polars was founded by Ritchie Vink, the original creator of the open-source project, together with co-founder Chiel Peters, both former colleagues at Xomnia. The company closed a seed round of approximately $4 million, led by Bain Capital Ventures, to build a Rust-based compute platform that runs Polars at any scale while keeping the core project MIT-licensed.

_Developers tracking funding and direction shifts in tools like Polars can follow updates on daily.dev._

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- [How to Use the Polars Library in Python for Data Analysis](https://daily.dev/posts/how-to-use-the-polars-library-in-python-for-data-analysis-stzxazhnq) · freeCodeCamp · 3 upvotes · 0 comments
- [Should AI Developers Make the Switch from Polars to Pandas?](https://daily.dev/posts/should-ai-developers-make-the-switch-from-polars-to-pandas--3mrkktnhr) · Towards Data Science · 0 upvotes · 0 comments
- [Polars vs pandas: What's the Difference? – Real Python](https://daily.dev/posts/polars-vs-pandas-what-s-the-difference-real-python-0uhjx2vub) · Real Python · 0 upvotes · 0 comments

---

Tags: [#venture-capital](https://daily.dev/tags/venture-capital), [#rust](https://daily.dev/tags/rust), [#data-engineering](https://daily.dev/tags/data-engineering), [#polars](https://daily.dev/tags/polars)

[View this post on daily.dev](https://daily.dev/posts/polars-company-announcement-59lcavasq)

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