PostgreSQL keeps winning: over 84,000 companies are running it by 2025, making it the backbone of everything from startups to enterprises.
But here's the thing—keyword search isn't going anywhere. Most apps still need fast, accurate text queries.
Tiger Data just dropped pg_textsearch as open source, bringing BM25 ranking directly into Postgres. Pair that with pgvector, and you've got a real hybrid search stack. No more bouncing between databases. Text search, vector embeddings, all in one place. That's the kind of simplicity developers actually want.
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ShitcoinConnoisseur
· 9h ago
The combination of pg_textsearch + pgvector is truly amazing. Finally, there's no need to shuffle between five different databases. The era of one Postgres to rule them all is really coming.
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Blockblind
· 9h ago
The combination of pg_textsearch + pgvector is really awesome; finally, no more jumping back and forth between ES and PG.
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TokenomicsDetective
· 9h ago
The integrated search solution is indeed great, but how to solve the performance bottleneck of pg_textsearch?
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BrokenDAO
· 9h ago
In plain terms, it's another story of a "one-stop solution." The more centralized it is, the greater the risk of a single point of failure. 84,000 companies are betting on one toolchain; if it encounters problems someday, they'll all be affected.
PostgreSQL keeps winning: over 84,000 companies are running it by 2025, making it the backbone of everything from startups to enterprises.
But here's the thing—keyword search isn't going anywhere. Most apps still need fast, accurate text queries.
Tiger Data just dropped pg_textsearch as open source, bringing BM25 ranking directly into Postgres. Pair that with pgvector, and you've got a real hybrid search stack. No more bouncing between databases. Text search, vector embeddings, all in one place. That's the kind of simplicity developers actually want.