🦆 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
Quack, quack! Join us for DuckDB × MySQL Day 🦆🐬🦭
This 1-day online conference organized by the @OurSQLFdn brings fast analytics to MySQL and MariaDB: columnar engines, analytical replication, Parquet, and the road to HTAP – all presented by the people building it.
If you’ve
It’s Time to Get Your Ducks in a Column
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Why columns? DuckDB is fast – among other reasons – because of its columnar storage architecture.
DuckDB stores each column separately instead of storing each row as one record. A query that touches three columns out of 50
🧭 Are you feeling particularly adventurous? While DuckDB v2.1 "Islandica" is still a long way off, we've already started shipping preview builds for it, and you can try it out today.
Some highlights: better error messages, improved memory allocation and MATCH_RECOGNIZE support. Just don't deploy it to production yet! 🚧
duckdb.org/install/preview
How @jetbrains Built Cross-Database Queries into DataGrip with DuckDB 🧠 🦆
JetBrains users had long asked to join data across different database connections in a single query. Rather than build its own cross-database query engine, JetBrains embedded #DuckDB in DataGrip, using
