Open-Source AI · Vector database

Milvus vs pgvector

Milvus vs pgvector compared for 2026 — features, license, ease of use, performance and which one to choose. Billion-scale vector database vs Vector search inside PostgreSQL.

Updated regularly · curated by olud.ai

Choose Milvus for teams needing billion-scale vector search. Choose pgvector for teams already running PostgreSQL.

Milvus vs pgvector at a glance

SpecMilvuspgvector
CategoryVector databaseVector database
TypeVector databasePostgres extension
LicenseApache-2.0PostgreSQL
Runs locallySelf-hostedSelf-hosted
Primary languageGo / C++C
Ease of useAdvancedBeginner
Best forteams needing billion-scale vector searchteams already running PostgreSQL
GitHub stars45.3k

Feature comparison

FeatureMilvuspgvector
Self-hostable
Managed cloud
Metadata filtering
Hybrid search
Horizontal scaling
REST API

How Milvus and pgvector score

🏆 Overall edge: pgvector — 4.8 vs 4.2 / 5
CriterionMilvuspgvector
Popularity4.0n/a
Maintenance5.0n/a
Ease of use2.55.0
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

Milvus

Vector database · Apache-2.0

Milvus is a cloud-native vector database built for massive scale, with multiple index types and a distributed architecture for billions of vectors.

  • Scales to billions of vectors
  • Many index types for tuning
  • Cloud-native, distributed architecture
See the Milvus page →

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 →

Key differences

Milvus is vector database, while pgvector is postgres extension. Their licenses differ (Apache-2.0 vs PostgreSQL), which matters if you ship a commercial product. Milvus leans more advanced-friendly, whereas pgvector is more suited to beginner users. In short, Milvus fits teams needing billion-scale vector search, and pgvector fits teams already running PostgreSQL.

Which should you choose?

Choose Milvus for teams needing billion-scale vector search. Choose pgvector for teams already running PostgreSQL.

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 Milvus or pgvector easier to use?

pgvector is generally the easier of the two to get started with, while Milvus rewards more setup with more control.

Are Milvus and pgvector free?

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

Can I run Milvus and pgvector locally?

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

Milvus vs pgvector — which should I pick in 2026?

Choose Milvus for teams needing billion-scale vector search. Choose pgvector for teams already running PostgreSQL.

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