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pgvector vs a dedicated vector DB — when is Postgres enough?

At small scale on an existing Postgres, pgvector usually wins on simplicity and $0 marginal cost; past ~single-digit-million vectors or for heavy hybrid/scale needs, a dedicated store pulls ahead. Answer your requirements to see where you land.

Capabilities verified 2026-07-17 against official documentation · fit weights are our estimates (see methodology) · share the URL to share your configuration

As of Jul 2026, for this page's default requirements, pgvector (Postgres) is the clear pick at 84% capability fit (Pinecone: 68%). This is a capability-fit decision, not a price ranking — StackSays does not invent a unified dollar comparison across these tools' incompatible billing units. Change any requirement below and the verdict recomputes.

Your requirements

The verdict updates as you change these. Share the URL to share your answers.

Clear pick

pgvector (Postgres) (84% fit)

Ranked by capability fit

pgvector (Postgres) vs Pinecone — the tradeoffs that decide it

  • Reuse existing Postgres: pgvector (Postgres)Runs inside the Postgres you already operate (Supabase/Neon/RDS) — no new service, $0 extra infra. PineconeAdds a separate vector service to run and pay for, on top of your Postgres.

When to pick Pinecone instead: when the lines above where it leads matter more to you than the ones where pgvector (Postgres) leads. Change the inputs to see the ranking flip.

This is a capability-fit decision, not a price ranking — these tools bill in incompatible units (per-search vs per-RAM cluster vs per-PB scanned) and several publish rates only in their own calculators, so StackSays does not invent a unified dollar comparison. Every score above traces to a documented capability; see Data sources below.

At a glance

ToolDeploymentOpen sourceVerified
pgvector (Postgres)Managed or self-hostedYes2026-07-17
PineconeManaged onlyNo2026-07-17
QdrantManaged or self-hostedYes2026-07-17
ChromaManaged or self-hostedYes2026-07-17
Where did you land?anonymous, one click

Data sources

ToolSourceVerified
pgvector (Postgres)pgvector documentation (capabilities)2026-07-17
PineconePinecone documentation (capabilities)2026-07-17
QdrantQdrant documentation (capabilities)2026-07-17
ChromaChroma documentation (capabilities)2026-07-17

A monitor re-checks these pages for changes; when a vendor moves a price, the date updates and every verdict recomputes.

Keep deciding