Making Postgres 300x faster for analytics: batching, operator fusion, and SIMD
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Deep technical dive into Postgres performance optimization with batching, operator fusion, and SIMD, highly relevant to data engineering and infrastructure.
Summary
Pgrust v0.2 achieves 300x faster analytical queries than Postgres on Clickbench by rebuilding the query engine with batching, operator fusion, and SIMD optimizations. The engine targets CPU and memory bandwidth bottlenecks that have replaced disk I/O as the primary constraint, given modern datasets fit in RAM and NVMe speeds. A simple sum of 500M floats drops from 20s in Postgres to 358ms in Rust, with further gains from eliminating overhead like locking and tuple parsing.