Comparison
qdrant vs weaviate
Verdict
Qdrant and Weaviate are both open-source vector databases designed for vector search, but they cater to different needs and preferences. Qdrant, built in Rust, emphasizes high-performance and scalability with distributed deployment features, making it ideal for applications that require robust vector search capabilities and zero downtime during updates. Weaviate, developed in Go, offers a unique.
Markdown twin · qdrant alternatives · weaviate alternatives
GraphCanon updated Sep 30, 2026
79views this month
Trust & integrity
| Signal | qdrant | weaviate |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | Published findings As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- qdrant
- High-performance, massive-scale Vector Database and Vector Search Engine for AI
- weaviate
- An open-source vector database for vector search and structured filtering
Stars
- qdrant
- 35k
- weaviate
- 17k
Forks
- qdrant
- 2.7k
- weaviate
- 1.4k
Open issues
- qdrant
- 733
- weaviate
- 735
Language
- qdrant
- Rust
- weaviate
- Go
Adopt for
- qdrant
- Qdrant is a high-performance vector database and search engine built for AI applications, offering distributed deployment with sharding and replication.
- weaviate
- Weaviate is an open-source vector database that supports vector search and structured filtering, offering fault tolerance and scalability. It supports deployment via Docker, Kubernetes, and cloud services.
Persona
- qdrant
- -
- weaviate
- -
Runtime
- qdrant
- -
- weaviate
- -
License
- qdrant
- Qdrant is available under the Apache License, Version 2.0, which is a permissive free software license.
- weaviate
- Other
Last pushed
- qdrant
- Sep 18, 2026
- weaviate
- Sep 18, 2026
Categories
- qdrant
- Vector Databases
- weaviate
- Data & Retrieval, Vector Databases
Trust and health
Open issues (now)
- qdrant
- 733
- weaviate
- 735
Stars delta
- qdrant
- +1.0k (30d)
- weaviate
- +138 (30d)
Open issues delta
- qdrant
- +81 (30d)
- weaviate
- +115 (30d)
OSV dependency advisories
- qdrant
- No lockfile (source not queried)
- weaviate
- Published findings
Full report
- qdrant
- Trust report
- weaviate
- Trust report
Typed relationship
qdrant alternative weaviateWeaviate and Qdrant are both open-source vector databases designed for scalable semantic search, providing an alternative way to achieve similar results in AI applications.
Choose qdrant if…
- qdrant is primarily Rust; weaviate is Go.
- License: qdrant is Apache-2.0, weaviate is Other.
- Pricing: Qdrant offers a free open-source version under the Apache License, with additional paid services available in the cloud..
- Requirements: Min 2 GB RAM; Qdrant supports distributed deployment, which may require additional resources depending on the scale of deployment..
- Weaviate and Qdrant are both open-source vector databases designed for scalable semantic search, providing an alternative way to achieve similar results in AI applications.
- Tags unique to qdrant: ai-search, embeddings-similarity, knn-algorithm, machine-learning.
- When you need a scalable solution for vector search that supports distributed deployment with sharding and replication.
When NOT to use qdrant
- If your project requires a database that is not built in Rust, and you have constraints against using Rust-based solutions.
- When you need a vector database that does not support distributed deployment, as Qdrant's strength lies in its scalability features.
Choose weaviate if…
- weaviate is primarily Go; qdrant is Rust.
- License: weaviate is Other, qdrant is Apache-2.0.
- Weaviate and Qdrant are both open-source vector databases designed for scalable semantic search, providing an alternative way to achieve similar results in AI applications.
- Tags unique to weaviate: approximate-nearest-neighbor-search, grpc, information retrieval, nearest-neighbor-search.
- Also covers Data & Retrieval.
- When you need a vector database that supports both vector search and structured filtering, as Weaviate uniquely combines these capabilities.
When NOT to use weaviate
- If your project strictly requires a proprietary solution, Weaviate, being open-source under the BSD 3-Clause License, may not be the best fit.
- If your application does not require vector search or structured filtering, Weaviate's specialized capabilities might be overkill.
- For teams that prefer a different programming language, Weaviate is primarily developed in Go, which might not align with all development environments.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (qdrant/qdrant) · observed Sep 20, 2026
- GitHub forks (qdrant/qdrant) · observed Sep 20, 2026
- Last push (qdrant/qdrant) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (weaviate/weaviate) · observed Sep 20, 2026
- GitHub forks (weaviate/weaviate) · observed Sep 20, 2026
- Last push (weaviate/weaviate) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: qdrant 35k · weaviate 17k (synced Sep 20, 2026).
Common questions
- Which tool should I choose if I need a scalable solution for vector search with distributed deployment?
- Qdrant is the better choice for scalable vector search with distributed deployment capabilities.
- What if my project requires both vector search and structured filtering?
- Weaviate is designed to support both vector search and structured filtering, making it a suitable option for such requirements.
- Can either tool be used if my project does not require vector search?
- Neither Qdrant nor Weaviate would be the best fit if vector search is not a requirement, as both tools are specialized for vector search operations.
- What is the difference between qdrant and weaviate?
- qdrant: High-performance, massive-scale Vector Database and Vector Search Engine for AI. weaviate: An open-source vector database for vector search and structured filtering. See the comparison table for live GitHub stats and shared categories.
- When should I choose qdrant over weaviate?
- Choose qdrant over weaviate when qdrant is primarily Rust; weaviate is Go; License: qdrant is Apache-2.0, weaviate is Other; Pricing: Qdrant offers a free open-source version under the Apache License, with additional paid services available in the cloud.; Requirements: Min 2 GB RAM; Qdrant supports distributed deployment, which may require additional resources depending on the scale of deployment.; Weaviate and Qdrant are both open-source vector databases designed for scalable semantic search, providing an alternative way to achieve similar results in AI applications; Tags unique to qdrant: ai-search, embeddings-similarity, knn-algorithm, machine-learning; When you need a scalable solution for vector search that supports distributed deployment with sharding and replication.
- When should I choose weaviate over qdrant?
- Choose weaviate over qdrant when weaviate is primarily Go; qdrant is Rust; License: weaviate is Other, qdrant is Apache-2.0; Weaviate and Qdrant are both open-source vector databases designed for scalable semantic search, providing an alternative way to achieve similar results in AI applications; Tags unique to weaviate: approximate-nearest-neighbor-search, grpc, information retrieval, nearest-neighbor-search; Also covers Data & Retrieval; When you need a vector database that supports both vector search and structured filtering, as Weaviate uniquely combines these capabilities.
- When should I avoid qdrant?
- If your project requires a database that is not built in Rust, and you have constraints against using Rust-based solutions. When you need a vector database that does not support distributed deployment, as Qdrant's strength lies in its scalability features.
- When should I avoid weaviate?
- If your project strictly requires a proprietary solution, Weaviate, being open-source under the BSD 3-Clause License, may not be the best fit. If your application does not require vector search or structured filtering, Weaviate's specialized capabilities might be overkill. For teams that prefer a different programming language, Weaviate is primarily developed in Go, which might not align with all development environments.
- Is qdrant or weaviate more popular on GitHub?
- qdrant has more GitHub stars (34,655 vs 16,819). Stars measure visibility, not whether either tool fits your constraints.
- Are qdrant and weaviate open source?
- Yes - both are open-source projects on GitHub (qdrant: Apache-2.0, weaviate: Other).
- Where can I find alternatives to qdrant or weaviate?
- GraphCanon lists graph-backed alternatives at qdrant alternatives and weaviate alternatives (qdrant markdown twin, weaviate markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, qdrant or weaviate?
- qdrant: Very active. weaviate: 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 qdrant and weaviate?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: qdrant trust report; weaviate trust report.