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Data · greybeam.ai · Thursday, 23 July 2026

DuckDB’s Vectorized Execution Boosts Speed by Batching 2,048 Rows

DuckDB processes data in cache‑friendly vectors of 2,048 rows, letting it apply pre‑compiled operators across the batch with a single selection vector. This push‑based pipeline slashes copying and improves CPU IPC, turning per‑row Volcano execution into a high‑throughput, columnar engine that runs queries dramatically faster.

Read the source: greybeam.ai ↗In the 23 July issue →