--- title: "vectordb vs vearch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/epsilla-cloud-vectordb-vs-vearch-vearch" tools: ["epsilla-cloud-vectordb", "vearch-vearch"] --- # vectordb vs vearch *GraphCanon updated Jul 12, 2026* ## Verdict Pick vectordb when vectordb is primarily C++; vearch is Go; pick vearch when vearch is primarily Go; vectordb is C++. [vectordb](https://epsilla.com) reports 875 GitHub stars, 46 forks, and 16 open issues, last pushed Nov 29, 2025. [vearch](https://vearch.github.io) has 2.3k stars, 362 forks, and 169 open issues, last pushed Jul 8, 2026. Figures are from public GitHub metadata via [vectordb's repository](https://github.com/epsilla-cloud/vectordb) and [vearch's repository](https://github.com/vearch/vearch). | | [vectordb](/tools/epsilla-cloud-vectordb.md) | [vearch](/tools/vearch-vearch.md) | | --- | --- | --- | | Tagline | Epsilla is a high performance Vector Database Management System | Distributed vector search for AI-native applications | | Stars | 875 | 2,317 | | Forks | 46 | 362 | | Open issues | 16 | 169 | | Language | C++ | Go | | Adopt for | - | Vearch is a distributed vector database for efficient vector search in AI applications. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | Apache-2.0 | | Categories | Data & Retrieval, LLM Frameworks, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [vectordb](/tools/epsilla-cloud-vectordb.md) | [vearch](/tools/vearch-vearch.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 223d | 2d | | Open issues (now) | 16 | 169 | | Full report | [trust report](/tools/epsilla-cloud-vectordb/trust.md) | [trust report](/tools/vearch-vearch/trust.md) | ## Decision facts: vearch - **Adopt for:** Vearch is a distributed vector database for efficient vector search in AI applications. ## Choose when ### Choose vectordb if… - vectordb is primarily C++; vearch is Go. - License: vectordb is GPL-3.0, vearch is Apache-2.0. - Tags unique to vectordb: ai, chatgpt, data, data-science. - Also covers LLM Frameworks. ### Choose vearch if… - vearch is primarily Go; vectordb is C++. - License: vearch is Apache-2.0, vectordb is GPL-3.0. - Tags unique to vearch: ai-native, cloud-native, hybrid-search, rag. - - When your application requires high performance and scalability for vector data operations. ## When NOT to use vectordb - Last GitHub push was 224 days ago (slowing maintenance, Nov 29, 2025). Validate activity before betting a new project on vectordb. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use vearch - - If you prioritize languages other than Go for your development stack, which might complicate integration into existing architectures. - - Your project does not benefit from a highly scalable architecture designed specifically around vector searches and instead requires more general relational data handling capabilities. ## Common questions ### What is the difference between vectordb and vearch? vectordb: Epsilla is a high performance Vector Database Management System. vearch: Distributed vector search for AI-native applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose vectordb over vearch? Choose vectordb over vearch when vectordb is primarily C++; vearch is Go; License: vectordb is GPL-3.0, vearch is Apache-2.0; Tags unique to vectordb: ai, chatgpt, data, data-science; Also covers LLM Frameworks. ### When should I choose vearch over vectordb? Choose vearch over vectordb when vearch is primarily Go; vectordb is C++; License: vearch is Apache-2.0, vectordb is GPL-3.0; Tags unique to vearch: ai-native, cloud-native, hybrid-search, rag; - When your application requires high performance and scalability for vector data operations. ### When should I avoid vectordb? Last GitHub push was 224 days ago (slowing maintenance, Nov 29, 2025). Validate activity before betting a new project on vectordb. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### When should I avoid vearch? - If you prioritize languages other than Go for your development stack, which might complicate integration into existing architectures. - Your project does not benefit from a highly scalable architecture designed specifically around vector searches and instead requires more general relational data handling capabilities. ### Is vectordb or vearch more popular on GitHub? vearch has more GitHub stars (2,317 vs 875). Stars measure visibility, not whether either tool fits your constraints. ### Are vectordb and vearch open source? Yes - both are open-source projects on GitHub (vectordb: GPL-3.0, vearch: Apache-2.0). ### Where can I find alternatives to vectordb or vearch? GraphCanon lists graph-backed alternatives at [vectordb alternatives](/tools/epsilla-cloud-vectordb/alternatives) and [vearch alternatives](/tools/vearch-vearch/alternatives) ([vectordb markdown twin](/tools/epsilla-cloud-vectordb/alternatives.md), [vearch markdown twin](/tools/vearch-vearch/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/epsilla-cloud-vectordb-vs-vearch-vearch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, vectordb or vearch? vectordb: Slowing. vearch: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for vectordb and vearch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [vectordb trust report](/tools/epsilla-cloud-vectordb/trust); [vearch trust report](/tools/vearch-vearch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=epsilla-cloud-vectordb`](/api/graphcanon/graph?tool=epsilla-cloud-vectordb) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_