DATABASES Signal 470
Making Postgres 300x faster for analytics: batching, operator fusion, and SIMD
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pgrust 0.2 rewrites the Postgres query engine in Rust with batching, operator-fusion and SIMD, claiming up to 300× faster analytical scans.
The redesign cuts CPU cycles and memory traffic, turning a 20-second sum of 500 M rows into sub-second runtimes. Engineers building analytics pipelines can achieve Clickhouse-level speed without switching databases, but must adopt a new execution layer that currently only covers a subset of Postgres plan nodes.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
The query engine redesign alone contributes roughly tenfold of the total 300× speedup on analytical benchmarks.
pgrust 0.2 runs 30 % faster than vanilla Postgres on OLTP workloads while still delivering massive gains on bulk-scan queries.
The implementation is a miniature engine that replaces the Volcano model with batched, SIMD-driven operators, but it does not yet support the full set of Postgres plan node types.
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