pgrust rebuilt Postgres's query engine and made it 300x faster for analytics

Making Postgres 300x faster for analytics: batching, operator fusion, and SIMD

pgrust 0.2 is 300x faster than vanilla Postgres on Clickbench and even beats ClickHouse. The main lever is a rewritten query engine that replaces the row-at-a-time Volcano model with batching, operator fusion, and SIMD. A toy Rust executor shows the baseline: summing 500M rows takes 1.3 s with the Volcano model. Batching cuts much of the per-row function-call overhead. The post explains that Postgres was built when disk I/O was the bottleneck; today CPU and memory bandwidth matter more. The article does not disclose the final pgrust time for the 500M-row sum, nor does it detail the operator-fusion and SIMD implementations.

Why it matters: pgrust 0.2 rewrites Postgres's query engine with batching and SIMD, hitting 300x native performance on Clickbench—solid numbers. But this is database internals, not an AI product or model update, so direct value for AI pros is limited; it lands at the featured threshold of 72 ...