Open-Source AI · Vector database

Milvus vs pgvectorscale

Milvus vs pgvectorscale compared for 2026 — features, license, ease of use, performance and which one to choose. Billion-scale vector database vs Make pgvector fast at scale.

Updated regularly · curated by OpenSourceAI.tech

Choose Milvus for teams needing billion-scale vector search. Choose pgvectorscale for scaling pgvector past a few million rows.

Milvus vs pgvectorscale at a glance

SpecMilvuspgvectorscale
CategoryVector databaseVector database
TypeVector databasePostgreSQL extension
LicenseApache-2.0PostgreSQL
Runs locallySelf-hostedYes
Primary languageGo / C++Rust
Ease of useAdvancedIntermediate
Best forteams needing billion-scale vector searchscaling pgvector past a few million rows
GitHub stars45.2k

How Milvus and pgvectorscale score

🏆 Overall edge: pgvectorscale — 4.5 vs 4.2 / 5
CriterionMilvuspgvectorscale
Popularity4.0n/a
Maintenance5.0n/a
Ease of use2.53.5
Privacy4.55.0
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 →

pgvectorscale

PostgreSQL extension · PostgreSQL

pgvectorscale adds a StreamingDiskANN index to pgvector, letting PostgreSQL handle very large vector collections at high speed.

  • Keeps everything in PostgreSQL
  • Handles very large collections
  • Big speedup over plain pgvector
Visit pgvectorscale →

Key differences

Milvus is vector database, while pgvectorscale is postgreSQL extension. Their licenses differ (Apache-2.0 vs PostgreSQL), which matters if you ship a commercial product. Milvus leans more advanced-friendly, whereas pgvectorscale is more suited to intermediate users. They also differ in how they run (Self-hosted vs Yes). In short, Milvus fits teams needing billion-scale vector search, and pgvectorscale fits scaling pgvector past a few million rows.

Which should you choose?

Choose Milvus for teams needing billion-scale vector search. Choose pgvectorscale for scaling pgvector past a few million rows.

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 pgvectorscale easier to use?

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

Are Milvus and pgvectorscale free?

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

Can I run Milvus and pgvectorscale locally?

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

Milvus vs pgvectorscale — which should I pick in 2026?

Choose Milvus for teams needing billion-scale vector search. Choose pgvectorscale for scaling pgvector past a few million rows.

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