head to head · open source
Weaviate vs Bytebase
Weaviate has 16,934 GitHub stars, 1,433 forks, 738 open issues and last shipped yesterday. Bytebase has 14,671 stars, 1,006 forks, 167 open issues and last shipped yesterday. Weaviate leads on adoption by 15% (16,934 vs 14,671 stars). Weaviate is written in Go under a custom or non-standard licence; Bytebase is written in Go under a custom or non-standard licence. Weaviate has attracted 8% as many forks as stars, Bytebase 7%. Bytebase 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
| Weaviate | Bytebase | |
|---|---|---|
| GitHub stars | ★ 17K | ★ 15K |
| License | Custom / other | Custom / other |
| Written in | Go | Go |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 1.4K | ⑂ 1.0K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Weaviate if
- You weight community size — 17K stars and counting
- You want the Custom / other license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick Bytebase if
- You want the Bytebase feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches Go
- You evaluated both and Bytebase fits your workflow better
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 →
About Bytebase
⚙️ Install • 📚 Docs • 🙋♀️ Book Demo What is Bytebase? Bytebase is the open source database governance platform. It acts as a single control plane between your users — humans and AI agents — and your databases, governing change management, access control, and compliance so every change and query is reviewed, controlled, and recorded. It replaces the disparate tools stitched across migration scripts, SQL clients, and ticketing systems, unifying database operations in a single platform. Supported Databases and Integrations Bytebase supports PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Redis, MariaDB, TiDB…
read the full Bytebase overview →
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Frequently asked questions
Is Weaviate or Bytebase more popular?
Weaviate has 16,934 GitHub stars and Bytebase has 14,671. Weaviate has the larger community by that measure.
Are Weaviate and Bytebase free?
Neither Weaviate nor Bytebase declares a licence in this registry, so check each project's own repository before relying on either for a commercial use. Both are free to self-host.
What is the difference between Weaviate and Bytebase?
Weaviate is written in Go and Bytebase 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, Weaviate or Bytebase?
Choose Weaviate if you want the larger community (16,934 stars) or its Custom / other licence terms. Choose Bytebase if its feature set, stack or Custom / other licence fits better. Both are self-hostable.