Our verdict
We have not reviewed Vearch yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Vearch
Vearch is a distributed vector search system written in Go. It provides scalable similarity search for high-dimensional vector data, designed for AI-native applications including observability use cases like anomaly detection and log analysis.
Best for
Engineering teams seeking a lightweight, open-source vector search for observability workflows
Use cases
- Index and search high-dimensional embeddings from AI models
- Perform real-time similarity search on observability data
- Build anomaly detection pipelines for logs and metrics
Notes
2,310 stars on GitHub. Last updated 2026-05-28. Licensed Apache-2.0.
Pros
- Open source with permissive license
- Written in Go for high concurrency and performance
- Distributed architecture scales horizontally
Cons
- Smaller community and fewer integrations than mature alternatives
- Limited documentation beyond core vector search
- Lacks built-in support for hybrid search or filtering
Key facts
What we have checked
- Latest version
- 3.5.9 (released 4 Feb 2026)
- GitHub stars
- 2,328
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How Vearch is growing
2,310 to 2,328
Alternatives
Alternatives to Vearch
| Record | Type | How we know | Checked |
|---|---|---|---|
| ChromaThis is an alternative to it | Open source | Named in the listing | Not dated |
| MilvusThis is an alternative to it | Open source | Named in the listing | Not dated |
| pgvectorThis is an alternative to it | Open source | Named in the listing | Not dated |
| QdrantThis is an alternative to it | Open source | Named in the listing | Not dated |
| WeaviateThis is an alternative to it | Open source | Named in the listing | Not dated |
Compare
Compare Vearch side by side
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 3.5.9
Released 3.5.8
Released 3.5.7
Released 3.5.6
Released 3.5.5
Released 3.5.4
Released 3.5.3
Released 3.5.2
Released 3.5.1
Released 3.5.0
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Chroma
Community
Search infrastructure for AI
Milvus
Community
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
pgvector
Community
Open-source vector similarity search for Postgres
Qdrant
Community
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Weaviate
Community
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance an
Pairs with
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