Comparison
meilisearch vs qdrant
Verdict
Pick meilisearch if meilisearch is a Rust-based, lightning-fast hybrid search engine that integrates easily into web and mobile applications. It supports both full-text and vector searches; pick qdrant if qdrant is a high-performance vector database and search engine built for AI applications, offering distributed deployment with sharding and replication.
Markdown twin · meilisearch alternatives · qdrant alternatives
GraphCanon updated Sep 30, 2026
16views this month
vs
Trust & integrity
| Signal | meilisearch | qdrant |
|---|---|---|
| Maintenance | Very active (2d since push) As of Sep 20, 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 20, 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 Jul 11, 2026 · osv@v1 | No lockfile (source not queried) 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
- meilisearch
- A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
- qdrant
- High-performance, massive-scale Vector Database and Vector Search Engine for AI
Stars
- meilisearch
- 59k
- qdrant
- 35k
Forks
- meilisearch
- 2.7k
- qdrant
- 2.7k
Open issues
- meilisearch
- 308
- qdrant
- 733
Language
- meilisearch
- Rust
- qdrant
- Rust
Adopt for
- meilisearch
- Meilisearch is a Rust-based, lightning-fast hybrid search engine that integrates easily into web and mobile applications. It supports both full-text and vector searches.
- qdrant
- Qdrant is a high-performance vector database and search engine built for AI applications, offering distributed deployment with sharding and replication.
Persona
- meilisearch
- -
- qdrant
- -
Runtime
- meilisearch
- -
- qdrant
- -
License
- meilisearch
- Other
- qdrant
- Qdrant is available under the Apache License, Version 2.0, which is a permissive free software license.
Last pushed
- meilisearch
- Sep 17, 2026
- qdrant
- Sep 18, 2026
Categories
- meilisearch
- Data & Retrieval, Vector Databases
- qdrant
- Vector Databases
Trust and health
Days since push
- meilisearch
- 2d
- qdrant
- 0d
Open issues (now)
- meilisearch
- 308
- qdrant
- 733
Stars delta
- meilisearch
- +663 (30d)
- qdrant
- +1.0k (30d)
Open issues delta
- meilisearch
- -11 (30d)
- qdrant
- +81 (30d)
Full report
- meilisearch
- Trust report
- qdrant
- Trust report
Typed relationship
meilisearch alternative qdrantMeiliSearch and Qdrant both offer vector search capabilities, supporting the use of AI for hybrid search operations. Both tools are designed to integrate semantic text searching with vector similarity searches.
Choose meilisearch if…
- License: meilisearch is Other, qdrant is Apache-2.0.
- MeiliSearch and Qdrant both offer vector search capabilities, supporting the use of AI for hybrid search operations. Both tools are designed to integrate semantic text searching with vector similarity searches.
- Tags unique to meilisearch: ai, api, app-search, database.
- Also covers Data & Retrieval.
- - You require fast integration capabilities for your web or mobile application, as Meilisearch offers flexible deployment options.
When NOT to use meilisearch
- - When you specifically need language support for a large number of languages beyond what Meilisearch currently offers, as some specialized multilingual search engines might handle more languages nimb
- - If your application does not require real-time search-as-you-type or typo tolerance features which can add overhead and may slow down performance in less demanding scenarios.
Choose qdrant if…
- License: qdrant is Apache-2.0, meilisearch 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..
- MeiliSearch and Qdrant both offer vector search capabilities, supporting the use of AI for hybrid search operations. Both tools are designed to integrate semantic text searching with vector similarity searches.
- Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, hybrid-search.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (meilisearch/meilisearch) · observed Sep 20, 2026
- GitHub forks (meilisearch/meilisearch) · observed Sep 20, 2026
- Last push (meilisearch/meilisearch) · observed Sep 17, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: meilisearch 59k · qdrant 35k (synced Sep 20, 2026).
Common questions
- What is the difference between meilisearch and qdrant?
- meilisearch: A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.. qdrant: High-performance, massive-scale Vector Database and Vector Search Engine for AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose meilisearch over qdrant?
- Choose meilisearch over qdrant when License: meilisearch is Other, qdrant is Apache-2.0; MeiliSearch and Qdrant both offer vector search capabilities, supporting the use of AI for hybrid search operations. Both tools are designed to integrate semantic text searching with vector similarity searches; Tags unique to meilisearch: ai, api, app-search, database; Also covers Data & Retrieval; - You require fast integration capabilities for your web or mobile application, as Meilisearch offers flexible deployment options.
- When should I choose qdrant over meilisearch?
- Choose qdrant over meilisearch when License: qdrant is Apache-2.0, meilisearch 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.; MeiliSearch and Qdrant both offer vector search capabilities, supporting the use of AI for hybrid search operations. Both tools are designed to integrate semantic text searching with vector similarity searches; Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, hybrid-search; When you need a scalable solution for vector search that supports distributed deployment with sharding and replication.
- When should I avoid meilisearch?
- - When you specifically need language support for a large number of languages beyond what Meilisearch currently offers, as some specialized multilingual search engines might handle more languages nimb - If your application does not require real-time search-as-you-type or typo tolerance features which can add overhead and may slow down performance in less demanding scenarios.
- 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.
- Is meilisearch or qdrant more popular on GitHub?
- meilisearch has more GitHub stars (59,345 vs 34,655). Stars measure visibility, not whether either tool fits your constraints.
- Are meilisearch and qdrant open source?
- Yes - both are open-source projects on GitHub (meilisearch: Other, qdrant: Apache-2.0).
- Where can I find alternatives to meilisearch or qdrant?
- GraphCanon lists graph-backed alternatives at meilisearch alternatives and qdrant alternatives (meilisearch markdown twin, qdrant 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, meilisearch or qdrant?
- meilisearch: Very active. qdrant: 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 meilisearch and qdrant?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: meilisearch trust report; qdrant trust report.