DuckLake: The Lakehouse That's Just SQL & Parquet

This is a dev post classified by Jev as Databases (a free resource), kept by the Dev Radar because it carries real work, not commentary.

DuckLake: The Lakehouse That's Just SQL & Parquet [Talk Python to Me, Ep. 562] How many files does your query read before it reads any data? On some data lakes, you go through JSON and metadata files first, just to learn which Parquet files matter. #DuckLake asks one SQL question instead. The metadata lives in a real database. The data stays in plain Parquet. That's the entire format. With Quack as the catalog, DuckLake handles 200 transactions a second under heavy contention. No other open table format comes close. In this episode of @TalkPython, host @mkennedy talks with @holanda_pe, lea

Posted by DuckDB (25.8k followers) 3 days ago · 65 likes · 5.6k views · view the original post on X. Kept by the Dev Radar as Databases.

More dev work like this

• Construct a bitemporal knowledge graph with Utopia that evolves as material arrives and… — @tom_doerr
• We’re bringing Databricks Unity Gateway to developers on Neon (@neondatabase), and it’s… — @Yuchenj_UW
• Docs changes shouldn’t need a mystery deployment process. — @DanKornas
• Our new short course with @DeepLearningAI covers continual and adaptive learning: the… — @OracleDevs
• The workshop you were looking for: 2 hours, virtual, and for free. — @neo4j
• Warehouse data shouldn’t wait for someone to ask the right question. — @DanKornas
• Context. That's the difference between an AI demo and a reliable production agent. The… — @Redisinc
• When #DuckDB-Wasm was launched in 2021, databases could not be persisted: everything… — @duckdb

Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 12.2k posts from 4.7k X accounts over the last 21 days, 1.4k tools, 12 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-19 18:39 UTC. Full method.