head to head · open source
DBeaver vs Qdrant
DBeaver has 52,273 GitHub stars, 4,442 forks, 3,334 open issues and last shipped yesterday. Qdrant has 35,390 stars, 2,793 forks, 704 open issues and last shipped yesterday. DBeaver leads on adoption by 48% (52,273 vs 35,390 stars). DBeaver is written in Java under Apache-2.0; Qdrant is written in Rust under Apache-2.0. DBeaver has attracted 8% as many forks as stars, Qdrant 8%. DBeaver 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
| DBeaver | Qdrant | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 35K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Java | Rust |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 4.4K | ⑂ 2.8K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick DBeaver if
- You weight community size — 52K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Java
- You value the larger contributor base for long-term maintenance
pick Qdrant if
- You want the Qdrant 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 Qdrant fits your workflow better
About DBeaver
DBeaver Free multi platform database tool for developers, SQL programmers, database administrators and analysts. Has a lot of features including schema editor, SQL editor, data editor, AI chat, ER diagrams, data export/import/migration, SQL execution plans, database administration tools, database dashboards, Spatial data viewer, proxy and SSH tunnelling, custom database drivers editor, etc. Out of the box supports more than 100 database drivers . Supports any database which has JDBC or ODBC driver (basically almost all existing databases). Integrates AI tools for work with data, SQL and database structure…
read the full DBeaver overview →
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 →
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Frequently asked questions
Is DBeaver or Qdrant more popular?
DBeaver has 52,273 GitHub stars and Qdrant has 35,390. DBeaver has the larger community by that measure.
Are DBeaver and Qdrant free?
Both are open source. DBeaver is licensed under Apache-2.0 and Qdrant under Apache-2.0. Neither carries a licence fee.
What is the difference between DBeaver and Qdrant?
DBeaver is written in Java and Qdrant 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, DBeaver or Qdrant?
Choose DBeaver if you want the larger community (52,273 stars) or its Apache-2.0 licence terms. Choose Qdrant if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.