head to head · open source
DBeaver vs Raphtory
DBeaver has 51,797 GitHub stars, 4,372 forks, 3,334 open issues and last shipped today. Raphtory has 642 stars, 70 forks, 196 open issues and last shipped yesterday. DBeaver leads on adoption by 7,968% (51,797 vs 642 stars). DBeaver is written in Java under Apache-2.0; Raphtory is written in Rust under GPL-3.0. DBeaver has attracted 8% as many forks as stars, Raphtory 11%. DBeaver was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (database), so they are genuine substitutes rather than adjacent tools.
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 | Raphtory | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 642 |
| License | Apache-2.0 | GPL-3.0 |
| Written in | Java | Rust |
| Last push | 2026-09-18 | 2026-09-17 |
| Forks | ⑂ 4.4K | ⑂ 70 |
| 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 Raphtory if
- You want the Raphtory feature set and don't need the biggest community
- You prefer the GPL-3.0 license terms
- Your stack matches Rust
- You evaluated both and Raphtory fits your workflow better
About DBeaver
DBeaver is a free, multi platform database management tool built in Java, designed for developers, SQL programmers, database administrators, and analysts. It operates across Windows, macOS, and Linux and integrates with the Eclipse based plugin ecosystem via OSGi and Eclipse RCP frameworks.
read the full DBeaver overview →
About Raphtory
🌍 Website   📒 Documentation   Pometry   🧙Tutorial   🐛 Report a Bug   Join Slack Raphtory is an in memory vectorised graph database written in Rust with friendly Python APIs on top. It is blazingly fast, scales to hundreds of millions of edges on your laptop, and can be dropped into your existing pipelines with a simple pip install raphtory . It can be ran embedded or as a server instance using GraphQL, supports time traveling, full text search, multilayer modelling, and advanced analytics beyond simple querying like automatic risk detection, dynamic scoring, and temporal motifs. With the s…
read the full Raphtory overview →
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Frequently asked questions
Is DBeaver or Raphtory more popular?
DBeaver has 51,797 GitHub stars and Raphtory has 642. DBeaver has the larger community by that measure.
Are DBeaver and Raphtory free?
Both are open source. DBeaver is licensed under Apache-2.0 and Raphtory under GPL-3.0. Neither carries a licence fee.
What is the difference between DBeaver and Raphtory?
DBeaver is written in Java and Raphtory 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 Raphtory?
Choose DBeaver if you want the larger community (51,797 stars) or its Apache-2.0 licence terms. Choose Raphtory if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.