Qdrant vs 
pgvectorscale
Qdrant vs pgvectorscale compared for 2026 — features, license, ease of use, performance and which one to choose. Fast Rust-based vector search vs Make pgvector fast at scale.
Updated regularly · curated by OpenSourceAI.tech
Qdrant vs pgvectorscale at a glance
| Spec | Qdrant | pgvectorscale |
|---|---|---|
| Category | Vector database | Vector database |
| Type | Vector database | PostgreSQL extension |
| License | Apache-2.0 | PostgreSQL |
| Runs locally | Self-hosted | Yes |
| Primary language | Rust | Rust |
| Ease of use | Beginner | Intermediate |
| Best for | teams wanting fast, simple vector search | scaling pgvector past a few million rows |
| GitHub stars | 33.3k | — |
How Qdrant and pgvectorscale score
| Criterion | Qdrant | pgvectorscale |
|---|---|---|
| Popularity | 4.0 | n/a |
| Maintenance | 5.0 | 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
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
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
Qdrant is vector database, while pgvectorscale is postgreSQL extension. Their licenses differ (Apache-2.0 vs PostgreSQL), which matters if you ship a commercial product. Qdrant 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, Qdrant fits teams wanting fast, simple vector search, and pgvectorscale fits scaling pgvector past a few million rows.
Which should you choose?
Choose Qdrant for teams wanting fast, simple 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 Qdrant or pgvectorscale easier to use?
Qdrant is generally the easier of the two to get started with, while pgvectorscale rewards more setup with more control.
Are Qdrant and pgvectorscale free?
Qdrant 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 Qdrant and pgvectorscale locally?
Qdrant: self-hosted · pgvectorscale: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Qdrant vs pgvectorscale — which should I pick in 2026?
Choose Qdrant for teams wanting fast, simple vector search. Choose pgvectorscale for scaling pgvector past a few million rows.
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