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Postgres vs VectorDB in 2 minutes.

19,612 Aufrufe • vor 1 Monat •via X (Twitter)

9 Kommentare

Profilbild von RK
RKvor 1 Monat

For most enterprise knowledge bases today, Postgres with pgvector is enough. Don't spend more.. Cost rule: pgvector <$200/mo up to 50M. Pinecone/Weaviate/Qdrant = $500–$2000+ at 100M+. Scale decides, not hype.”

Profilbild von Priyanka Vergadia
Priyanka Vergadiavor 1 Monat

Absolutely!! But most enterprises run towards what is most talked about and invest in stuff they don't need :)

Profilbild von Paul Alvarado
Paul Alvaradovor 1 Monat

Thanks for the great explanation. It help me to understand embeddings and vector DBs in general.

Profilbild von Rakesh
Rakeshvor 1 Monat

Thank you, pgvector is useful for Millions of records, easy to setup & use.

Profilbild von Raj C
Raj Cvor 1 Monat

For most enterprises Postgres is good enough when it comes to handling real time transactions and it also supports the vector data; hence you have the expand ability to allow other functions including applying LLM. Great details @pvergadia

Profilbild von Priyanka Vergadia
Priyanka Vergadiavor 1 Monat

Agree! 👍

Profilbild von Shivaraj
Shivarajvor 1 Monat

Is there something called hair db.

Profilbild von zen_winds
zen_windsvor 1 Monat

Maybe you should try Google AlloyDB it’s worlds best Postgres and also a fastest Vector Database. It even supports 10B+ Vectors scale #AlloyDB

Profilbild von Priyanka Vergadia
Priyanka Vergadiavor 1 Monat

lol I have more than tried AlloyDB and @andigutmans and team have done an amazing job!

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