Topic
Duckdb
2 episodes
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Asynchronous I/O in DuckDB: Work, Thread, Work
Cooper and Miles dig into DuckDB's upcoming async I/O system landing in v2.0 this fall — two thread pools, a read-ahead queue, and memory governance that together hide S3 latency without starving worker threads. Miles walks through the mechanism; Cooper connects it to the real shift DuckDB has made from local SSD tool to data lake engine.
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To Every Agent Its Own Database
Jessica and Cathy dig into Joe Reis’s argument that agentic data systems should flip the warehouse model: give each agent its own embedded analytical engine, then exchange immutable slices peer-to-peer instead of routing everything through one shared platform. They focus on why that matters for concurrency, freshness, and trust, and where the idea still needs real control-plane machinery.