Polars 2.0 introduces out-of-core spill-to-disk support, significant performance improvements, and first-class SQL support, allowing it to outperform DataFusion and DuckDB on TPC-H and TPC-DS benchmarks. The release also adds a new Map dtype and stricter dtype handling for faster feedback and AI iteration.
Background
Polars is a high-performance DataFrame library for Rust and Python, known for its lazy evaluation engine and Arrow-based memory model. Polars 2.0 marks a major milestone with SQL support and out-of-core processing.
- Source
- Lobsters
- Published
- Oct 6, 2026 at 10:30 PM
- Score
- 7.0 / 10