Infinity vs Qdrant
A side-by-side comparison of two self-hosted search engines options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Infinity
AI-native database for embedding and hybrid search
VS
Qdrant
High-performance open-source vector search engine
| Feature | Infinity | Qdrant |
|---|---|---|
| Category | Search Engines | Search Engines |
| License | Apache-2.0 | Apache-2.0 |
| Language | C++ | Rust |
| Setup difficulty | Medium | Medium |
| Min. RAM | 2,048 MB | 512 MB |
| Deployment | docker, binary | docker, kubernetes, helm |
| GitHub stars | ★ 4,664 | ★ 33,837 |
| First released | 2024 | 2021 |
| Replaces | Pinecone, Elasticsearch | Pinecone, Algolia |
Why pick each one
Choose Infinity if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Active community (4.7k GitHub stars)
- Written in C++
Frequently asked questions
Is Infinity or Qdrant better?
Neither is universally better. Qdrant has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Infinity and Qdrant free and open-source?
Yes. Infinity is licensed under Apache-2.0 and Qdrant under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Infinity and Qdrant with Docker?
Infinity: yes. Qdrant: yes.