pgvector vs 
pgvectorscale
pgvector vs pgvectorscale compared for 2026 — features, license, ease of use, performance and which one to choose. Vector search inside PostgreSQL vs Make pgvector fast at scale.
Updated regularly · curated by OpenSourceAI.tech
pgvector vs pgvectorscale at a glance
| Spec | pgvector | pgvectorscale |
|---|---|---|
| Category | Vector database | Vector database |
| Type | Postgres extension | PostgreSQL extension |
| License | PostgreSQL | PostgreSQL |
| Runs locally | Self-hosted | Yes |
| Primary language | C | Rust |
| Ease of use | Beginner | Intermediate |
| Best for | teams already running PostgreSQL | scaling pgvector past a few million rows |
| GitHub stars | — | — |
How pgvector and pgvectorscale score
| Criterion | pgvector | pgvectorscale |
|---|---|---|
| Popularity | n/a | n/a |
| Maintenance | n/a | n/a |
| Ease of use | 5.0 | 3.5 |
| Privacy | 4.5 | 5.0 |
| License freedom | 5.0 | 5.0 |
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
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
pgvectorscale
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
Key differences
pgvector is postgres extension, while pgvectorscale is postgreSQL extension. pgvector leans more beginner-friendly, whereas pgvectorscale is more suited to intermediate users. They also differ in how they run (Self-hosted vs Yes). In short, pgvector fits teams already running PostgreSQL, and pgvectorscale fits scaling pgvector past a few million rows.
Which should you choose?
Choose pgvector for teams already running PostgreSQL. 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 pgvector or pgvectorscale easier to use?
pgvector is generally the easier of the two to get started with, while pgvectorscale rewards more setup with more control.
Are pgvector and pgvectorscale free?
pgvector is free and open source (PostgreSQL), and pgvectorscale is free and open source (PostgreSQL). Neither charges for the core software.
Can I run pgvector and pgvectorscale locally?
pgvector: self-hosted · pgvectorscale: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
pgvector vs pgvectorscale — which should I pick in 2026?
Choose pgvector for teams already running PostgreSQL. Choose pgvectorscale for scaling pgvector past a few million rows.
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