Qdrant vs 
Vespa
Qdrant vs Vespa compared for 2026 — features, license, ease of use, performance and which one to choose. Fast Rust-based vector search vs Big-scale hybrid search and ranking platform.
Updated regularly · curated by OpenSourceAI.tech
Qdrant vs Vespa at a glance
| Spec | Qdrant | Vespa |
|---|---|---|
| Category | Vector database | Vector database |
| Type | Vector database | Search & serving engine |
| License | Apache-2.0 | Apache-2.0 |
| Runs locally | Self-hosted | Yes |
| Primary language | Rust | Java/C++ |
| Ease of use | Beginner | Advanced |
| Best for | teams wanting fast, simple vector search | web-scale hybrid search with online ranking |
| GitHub stars | 33.3k | 7k |
Feature comparison
| Feature | Qdrant | Vespa |
|---|---|---|
| Self-hostable | ✓ | ✓ |
| Managed cloud | ✓ | ✓ |
| Metadata filtering | ✓ | ✓ |
| Hybrid search | ✓ | ✓ |
| Horizontal scaling | ✓ | ✓ |
| REST API | ✓ | ✓ |
How Qdrant and Vespa score
| Criterion | Qdrant | Vespa |
|---|---|---|
| Popularity | 4.0 | 2.5 |
| Maintenance | 5.0 | 5.0 |
| Ease of use | 5.0 | 2.5 |
| 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
Vespa
Vespa is a production engine combining vector search, lexical search and ML-model ranking over billions of documents with real-time writes — the platform behind major web-scale services.
- True hybrid: vectors + text + ML ranking in one query
- Real-time indexing at very large scale
- Proven in production for decades at Yahoo/Verizon Media
Key differences
Qdrant is vector database, while Vespa is search & serving engine. Qdrant leans more beginner-friendly, whereas Vespa is more suited to advanced users. They also differ in how they run (Self-hosted vs Yes). In short, Qdrant fits teams wanting fast, simple vector search, and Vespa fits web-scale hybrid search with online ranking.
Which should you choose?
Choose Qdrant for teams wanting fast, simple vector search. Choose Vespa for web-scale hybrid search with online ranking.
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 Vespa easier to use?
Qdrant is generally the easier of the two to get started with, while Vespa rewards more setup with more control.
Are Qdrant and Vespa free?
Qdrant is free and open source (Apache-2.0), and Vespa is free and open source (Apache-2.0). Neither charges for the core software.
Can I run Qdrant and Vespa locally?
Qdrant: self-hosted · Vespa: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Qdrant vs Vespa — which should I pick in 2026?
Choose Qdrant for teams wanting fast, simple vector search. Choose Vespa for web-scale hybrid search with online ranking.
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