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ParadeDB responds to PlanetScale’s 8× text-search lead with optimizations

paradedb.com 15 min read Editor score 7/10

PlanetScale’s benchmark found TIN at least 8× faster than ParadeDB 0.25; ParadeDB says its follow-up used the same dataset, harness and machine types. The comparison is useful context for evaluating Postgres text-search performance claims.

What
• ParadeDB describes optimizations to its BM25-ranked text search after PlanetScale reported TIN performance leads.
How
• On the cited StackExchange benchmark, ParadeDB reports 81.9 QPS versus TIN’s 33 QPS.
Why it matters
• The comparison highlights that search performance can improve through optimizations beyond changing document identifiers.
contains IDs mapped resolves to identifies row postings list DocId map ctid Postgres
ParadeDB maps Tantivy document IDs to PostgreSQL row locations using ctid values. Sketched from the article's own text.

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