head to head · open source
DBeaver vs Weaviate
DBeaver has 52,273 GitHub stars, 4,442 forks, 3,334 open issues and last shipped yesterday. Weaviate has 16,934 stars, 1,433 forks, 738 open issues and last shipped yesterday. DBeaver leads on adoption by 209% (52,273 vs 16,934 stars). DBeaver is written in Java under Apache-2.0; Weaviate is written in Go under a custom or non-standard licence. DBeaver has attracted 8% as many forks as stars, Weaviate 8%. Weaviate 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 | Weaviate | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 17K |
| License | Apache-2.0 | Custom / other |
| Written in | Java | Go |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 4.4K | ⑂ 1.4K |
| 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 Weaviate if
- You want the Weaviate feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches Go
- You evaluated both and Weaviate 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 Weaviate
Weaviate Weaviate is an open source, cloud native vector database that stores both objects and vectors, enabling semantic search at scale. It combines vector similarity search with keyword filtering, retrieval augmented generation (RAG), and reranking in a single query interface. Common use cases include RAG systems, semantic and image search, recommendation engines, chatbots, and content classification. Weaviate supports two approaches to store vectors: automatic vectorization at import using integrated models (OpenAI, Cohere, HuggingFace, and others) or direct import of pre computed vector embeddings…
read the full Weaviate overview →
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Frequently asked questions
Is DBeaver or Weaviate more popular?
DBeaver has 52,273 GitHub stars and Weaviate has 16,934. DBeaver has the larger community by that measure.
Are DBeaver and Weaviate free?
Both are open source. DBeaver is licensed under Apache-2.0, and Weaviate has no licence declared in this registry. Both are free to self-host.
What is the difference between DBeaver and Weaviate?
DBeaver is written in Java and Weaviate in Go. 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 Weaviate?
Choose DBeaver if you want the larger community (52,273 stars) or its Apache-2.0 licence terms. Choose Weaviate if its feature set, stack or Custom / other licence fits better. Both are self-hostable.