DataFrames for the new era.

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

Polars is a DataFrame interface on top of an OLAP Query Engine implemented in Rust using Apache Arrow Columnar Format as the memory model.

Polars is an open-source library for data manipulation, known for being one of the fastest data processing solutions on a single machine. It features a well-structured, typed API that is both expressive and easy to use.

• Polars @ GitHub.

ArcticDB is a DataFrame Database.

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Built for the modern Python Data Science ecosystem, ArcticDB transforms your ability to handle complex real world data with Incredibly fast proven Petabyte scale.

• ArticDB @ GitHub.
• La veille des Ours n°32 @ Bearstech's LinkedIn .

DataFusion is a very fast, extensible query engine for building high-quality data-centric systems in Rust, using the Apache Arrow in-memory format.

DataFusion is great for building projects such as domain specific query engines, new database platforms and data pipelines, query languages and more. It lets you start quickly from a fully working engine, and then customize those features specific to your use.

• DataFusion @ GitHub.