Qdrant vs 
pgvector
Qdrant vs pgvector compared for 2026 — features, license, ease of use, performance and which one to choose. Fast Rust-based vector search vs Vector search inside PostgreSQL.
Updated regularly · curated by olud.ai
Qdrant vs pgvector at a glance
| Spec | Qdrant | pgvector |
|---|---|---|
| Category | Vector database | Vector database |
| Type | Vector database | Postgres extension |
| License | Apache-2.0 | PostgreSQL |
| Runs locally | Self-hosted | Self-hosted |
| Primary language | Rust | C |
| Ease of use | Beginner | Beginner |
| Best for | teams wanting fast, simple vector search | teams already running PostgreSQL |
| GitHub stars | 33.4k | — |
Feature comparison
| Feature | Qdrant | pgvector |
|---|---|---|
| Self-hostable | ✓ | ✓ |
| Managed cloud | ✓ | ✓ |
| Metadata filtering | ✓ | ✓ |
| Hybrid search | ✓ | ✓ |
| Horizontal scaling | ✓ | ✓ |
| REST API | ✓ | ✗ |
How Qdrant and pgvector score
| Criterion | Qdrant | pgvector |
|---|---|---|
| Popularity | 4.0 | n/a |
| Maintenance | 5.0 | n/a |
| Ease of use | 5.0 | 5.0 |
| Privacy | 4.5 | 4.5 |
| 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
Qdrant
Qdrant is a high-performance vector database written in Rust, with rich filtering, payloads and a simple API for production semantic search and RAG.
- Very fast, written in Rust
- Rich payload filtering
- Simple API and easy self-hosting
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
Key differences
Qdrant is vector database, while pgvector is postgres extension. Their licenses differ (Apache-2.0 vs PostgreSQL), which matters if you ship a commercial product. In short, Qdrant fits teams wanting fast, simple vector search, and pgvector fits teams already running PostgreSQL.
Which should you choose?
Choose Qdrant for teams wanting fast, simple 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 Qdrant or pgvector easier to use?
Both sit at a similar level (Beginner). Your choice should come down to fit rather than difficulty.
Are Qdrant and pgvector free?
Qdrant 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 Qdrant and pgvector locally?
Qdrant: self-hosted · pgvector: self-hosted. Both can be used without sending your data to a third-party cloud where their setup allows.
Qdrant vs pgvector — which should I pick in 2026?
Choose Qdrant for teams wanting fast, simple vector search. Choose pgvector for teams already running PostgreSQL.
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