Making Postgres 300x faster for analytics: batching, operator fusion, and SIMD
The developers of pgrust have released version 0.2, claiming significant performance improvements over standard PostgreSQL. By utilizing batching, operator fusion, and SIMD, the engine achieves up to 300x faster performance in analytical benchmarks.
Why it matters
This represents a major technical advancement in database engineering, potentially challenging the dominance of legacy systems like Postgres in high-performance computing environments.
Last week we released version 0.2 of pgrust . This release was all about performance. It’s 10x faster than the previous version of pgrust. On OLTP benchmarks, pgrust is 30% faster than Postgres, and on Clickbench, Clickhouse’s benchmark for analytical databases, pgrust is 300x faster than Postgres. It’s even ahead of Clickhouse!
The query engine is one of the biggest changes we made to achieve much better performance. On its own, the query engine drove ~10x of the 300x. We’ll start with a miniature version of the Postgres query engine and we’ll one by one add the same optimizations we made to make the pgrust query engine so fast.
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