We released DuckDB 2.0 on Wednesday, leading with the Python, Java and command-line clients, plus the core extensions. By Friday, the rest of the ecosystem caught up with the new version. All primary clients support DuckDB 2.0, including Go, Node.js, R and Rust. Most community extensions have also been updated and rebuilt for DuckDB 2.0, and there are even new ones out there For example, @MistralAI released their new Timestral time-series model family, and there’s already a DuckDB extension for it, contributed by Sylvain Utard! Timestral forecasts that if you’re based in Europe, you’ll have an extra hour this weekend – perfect for trying it out using our new compact syntax: INSTALL AND LOAD timestral FROM community;

🦆 Announcing DuckDB 2.0.0 LTS “Cinnamon Teal” We are proud to release DuckDB 2.0.0, named after the cinnamon teal (Spatula cyanoptera), a striking reddish-brown duck found in the western Americas. 🌎 DuckDB 2.0.0 is the biggest DuckDB feature release so far. It ships a polished version of the Quack protocol, which turns DuckDB into a full-fledged server. It improves performance and lowers costs through supporting asynchronous I/O, a first-class VARIANT type, and a dedicated “agent mode”. It also empowers extension developers with a new SQL parser that allows adding new statements, clauses, and keywords, a new API to build on, and a new mechanism to distribute extensions more easily. In our announcement blog post, we summarize the highlights and then walk through the key changes and give guidance on how to migrate to 2.0. For the complete release notes, see the release page on GitHub⁠. duckdb.org/2026/10/21/announ… #DuckDB