head to head · open source
Qdrant vs dbx
Qdrant has 35,390 GitHub stars, 2,793 forks, 704 open issues and last shipped yesterday. dbx has 28,664 stars, 2,616 forks, 1,406 open issues and last shipped yesterday. Qdrant leads on adoption by 23% (35,390 vs 28,664 stars). Qdrant is written in Rust under Apache-2.0; dbx is written in Rust under Apache-2.0. Qdrant has attracted 8% as many forks as stars, dbx 9%. Qdrant was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Qdrant | dbx | |
|---|---|---|
| GitHub stars | ★ 35K | ★ 29K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Rust | Rust |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 2.8K | ⑂ 2.6K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Qdrant if
- You weight community size — 35K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Rust
- You value the larger contributor base for long-term maintenance
pick dbx if
- You want the dbx feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and dbx fits your workflow better
About Qdrant
Vector Search Engine for the next generation of AI applications Qdrant (read: quadrant ) is a vector similarity search engine and vector database. It provides a production ready service with a convenient API to store, search, and manage points—vectors with an additional payload. Qdrant is tailored for extended filtering support, making it useful for all sorts of neural network or semantic based matching, faceted search, and other applications. Qdrant is written in Rust 🦀, which makes it fast and reliable even under high load. See benchmarks. With Qdrant, embeddings or neural network encoders can be turned into…
read the full Qdrant overview →
About dbx
90+ databases in 25 MB. Desktop, Docker, CLI, built in AI assistant, and MCP Server. <img src="
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Frequently asked questions
Is Qdrant or dbx more popular?
Qdrant has 35,390 GitHub stars and dbx has 28,664. Qdrant has the larger community by that measure.
Are Qdrant and dbx free?
Both are open source. Qdrant is licensed under Apache-2.0 and dbx under Apache-2.0. Neither carries a licence fee.
What is the difference between Qdrant and dbx?
Qdrant is written in Rust and dbx in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Qdrant or dbx?
Choose Qdrant if you want the larger community (35,390 stars) or its Apache-2.0 licence terms. Choose dbx if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.