Open-Source AI · Vector database

pgvector vs LanceDB

pgvector vs LanceDB compared for 2026 — features, license, ease of use, performance and which one to choose. Vector search inside PostgreSQL vs Serverless vector DB for AI.

Updated regularly · curated by olud.ai

Choose pgvector for teams already running PostgreSQL. Choose LanceDB for embedded, serverless vector search.

pgvector vs LanceDB at a glance

SpecpgvectorLanceDB
CategoryVector databaseVector database
TypePostgres extensionEmbedded vector database
LicensePostgreSQLApache-2.0
Runs locallySelf-hostedSelf-hosted
Primary languageCRust
Ease of useBeginnerBeginner
Best forteams already running PostgreSQLembedded, serverless vector search
GitHub stars10.9k

How pgvector and LanceDB score

🏆 Overall edge: pgvector — 4.8 vs 4.5 / 5
CriterionpgvectorLanceDB
Popularityn/a3.0
Maintenancen/a5.0
Ease of use5.05.0
Privacy4.54.5
License freedom5.05.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

pgvector

Postgres extension · PostgreSQL

pgvector is a PostgreSQL extension that adds vector similarity search to your existing database, so you can do RAG without a separate vector store.

  • No new infrastructure — it is just Postgres
  • Keep vectors next to relational data
  • Mature, well-supported ecosystem
Visit pgvector →

LanceDB

Embedded vector database · Apache-2.0

LanceDB is an open-source, embedded vector database built on the Lance columnar format, offering fast vector search with zero servers to manage.

  • Embedded, no server to run
  • Built on the fast Lance format
  • Handles vectors plus metadata and files
See the LanceDB page →

Key differences

pgvector is postgres extension, while LanceDB is embedded vector database. Their licenses differ (PostgreSQL vs Apache-2.0), which matters if you ship a commercial product. In short, pgvector fits teams already running PostgreSQL, and LanceDB fits embedded, serverless vector search.

Which should you choose?

Choose pgvector for teams already running PostgreSQL. Choose LanceDB for embedded, serverless vector search.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is pgvector or LanceDB easier to use?

Both sit at a similar level (Beginner). Your choice should come down to fit rather than difficulty.

Are pgvector and LanceDB free?

pgvector is free and open source (PostgreSQL), and LanceDB is free and open source (Apache-2.0). Neither charges for the core software.

Can I run pgvector and LanceDB locally?

pgvector: self-hosted · LanceDB: self-hosted. Both can be used without sending your data to a third-party cloud where their setup allows.

pgvector vs LanceDB — which should I pick in 2026?

Choose pgvector for teams already running PostgreSQL. Choose LanceDB for embedded, serverless vector search.

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