ParadeDB Search Performance Improvements
The team behind ParadeDB responds to performance benchmarks published by PlanetScale regarding their new Postgres search extension, TIN. ParadeDB details the optimization efforts they undertook to close the performance gap between the two search solutions.
Why it matters
It illustrates the competitive landscape of database engineering and the iterative nature of performance optimization in open-source software.
Two weeks ago, PlanetScale unveiled TIN , a full-text search extension for Postgres. Their launch post reported impressive performance wins over a subset of ParadeDB’s text search functionality, specifically BM25-ranked text search and document counts.
We’d like to extend kudos to the PlanetScale team 1 . It’s great to see another Postgres platform investing in search (turns out people want to search their relational data), and it’s clear that a lot of thoughtful engineering went into TIN. We’re also happy to see PlanetScale’s adoption of ParadeDB’s benchmarker tool , which we built for exactly this kind of testing.
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