Comparison
datalevin vs qdrant
Verdict
Pick datalevin if dataLevin is a Clojure-based Datalog database that emphasizes speed and versatility, supporting various data storage formats including document, graph, and key-value stores; pick qdrant if high-performance vector database with support for distributed deployment.
Markdown twin · datalevin alternatives · qdrant alternatives
GraphCanon updated today
Trust & integrity
| Signal | datalevin | qdrant |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- datalevin
- A simple, fast and versatile Datalog database
- qdrant
- High-performance, massive-scale Vector Database and Vector Search Engine
Stars
- datalevin
- 1.5k
- qdrant
- 34k
Forks
- datalevin
- 84
- qdrant
- 2.5k
Open issues
- datalevin
- 30
- qdrant
- 652
Language
- datalevin
- Clojure
- qdrant
- Rust
Adopt for
- datalevin
- DataLevin is a Clojure-based Datalog database that emphasizes speed and versatility, supporting various data storage formats including document, graph, and key-value stores.
- qdrant
- High-performance vector database with support for distributed deployment.
Persona
- datalevin
- -
- qdrant
- -
Runtime
- datalevin
- -
- qdrant
- -
License
- datalevin
- EPL-2.0
- qdrant
- Qdrant is available under the Apache License 2.0.
Last pushed
- datalevin
- Aug 20, 2026
- qdrant
- Jul 28, 2026
Categories
- datalevin
- Vector Databases
- qdrant
- Data & Retrieval, Vector Databases
Trust and health
Open issues (now)
- datalevin
- 30
- qdrant
- 652
Stars delta
- datalevin
- +24 (30d)
- qdrant
- Unknown
Open issues delta
- datalevin
- +3 (30d)
- qdrant
- Unknown
Full report
- datalevin
- Trust report
- qdrant
- Trust report
Typed relationship
datalevin alternative qdrantQdrant and Datalevin are alternatives in providing vector-based search functionality but each serves the purpose differently with varying features and ecosystem support.
Choose datalevin if…
- datalevin is primarily Clojure; qdrant is Rust.
- License: datalevin is EPL-2.0, qdrant is Apache-2.0.
- Qdrant and Datalevin are alternatives in providing vector-based search functionality but each serves the purpose differently with varying features and ecosystem support.
- Tags unique to datalevin: ai-native, client-server-database, document-database, embedded-database.
- Use DataLevin when you need a versatile Datalog database with high performance for applications built in Clojure.
When NOT to use datalevin
- Avoid using DataLevin if the development of your project is not centered around Clojure, given its language-specific benefits are tied to Clojure.
- Not recommended for projects where a non-Datalog query system offers better integration with existing infrastructure or tools.
Choose qdrant if…
- qdrant is primarily Rust; datalevin is Clojure.
- License: qdrant is Apache-2.0, datalevin is EPL-2.0.
- Qdrant supports self-hosted deployment along with a cloud option at https://cloud.qdrant.io/.
- Requirements: - Distributed deployment with sharding and replication is supported.; - No specific minimum RAM requirement provided. Performance and resource use will depend on the scale of embedding collections..
- Qdrant and Datalevin are alternatives in providing vector-based search functionality but each serves the purpose differently with varying features and ecosystem support.
- Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, knn-algorithm.
- Also covers Data & Retrieval.
- qdrant ships Docker support for self-hosted deployment.
- - When scalability and performance are paramount in handling large-scale embeddings.
When NOT to use qdrant
- - Avoid if your project requires more traditional relational database features as Qdrant focuses exclusively on vectors.
- - If minimalistic setup is crucial, since Qdrant's capability for distributed deployment may introduce complexity that is not necessary for smaller-scale applications.
- - For use cases where non-Rust environments significantly limit the feasibility of integrating external tools.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (datalevin/datalevin) · observed Aug 21, 2026
- GitHub forks (datalevin/datalevin) · observed Aug 21, 2026
- Last push (datalevin/datalevin) · observed Aug 20, 2026
- License file (EPL-2.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (qdrant/qdrant) · observed Jul 28, 2026
- GitHub forks (qdrant/qdrant) · observed Jul 28, 2026
- Last push (qdrant/qdrant) · observed Jul 28, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: datalevin 1.5k · qdrant 34k (synced Aug 21, 2026).
Common questions
- What is the difference between datalevin and qdrant?
- datalevin: A simple, fast and versatile Datalog database. qdrant: High-performance, massive-scale Vector Database and Vector Search Engine. See the comparison table for live GitHub stats and shared categories.
- When should I choose datalevin over qdrant?
- Choose datalevin over qdrant when datalevin is primarily Clojure; qdrant is Rust; License: datalevin is EPL-2.0, qdrant is Apache-2.0; Qdrant and Datalevin are alternatives in providing vector-based search functionality but each serves the purpose differently with varying features and ecosystem support; Tags unique to datalevin: ai-native, client-server-database, document-database, embedded-database; Use DataLevin when you need a versatile Datalog database with high performance for applications built in Clojure.
- When should I choose qdrant over datalevin?
- Choose qdrant over datalevin when qdrant is primarily Rust; datalevin is Clojure; License: qdrant is Apache-2.0, datalevin is EPL-2.0; Qdrant supports self-hosted deployment along with a cloud option at https://cloud.qdrant.io/; Requirements: - Distributed deployment with sharding and replication is supported.; - No specific minimum RAM requirement provided. Performance and resource use will depend on the scale of embedding collections.; Qdrant and Datalevin are alternatives in providing vector-based search functionality but each serves the purpose differently with varying features and ecosystem support; Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, knn-algorithm; Also covers Data & Retrieval; qdrant ships Docker support for self-hosted deployment; - When scalability and performance are paramount in handling large-scale embeddings.
- When should I avoid datalevin?
- Avoid using DataLevin if the development of your project is not centered around Clojure, given its language-specific benefits are tied to Clojure. Not recommended for projects where a non-Datalog query system offers better integration with existing infrastructure or tools.
- When should I avoid qdrant?
- - Avoid if your project requires more traditional relational database features as Qdrant focuses exclusively on vectors. - If minimalistic setup is crucial, since Qdrant's capability for distributed deployment may introduce complexity that is not necessary for smaller-scale applications. - For use cases where non-Rust environments significantly limit the feasibility of integrating external tools.
- Is datalevin or qdrant more popular on GitHub?
- qdrant has more GitHub stars (33,629 vs 1,470). Stars measure visibility, not whether either tool fits your constraints.
- Are datalevin and qdrant open source?
- Yes - both are open-source projects on GitHub (datalevin: EPL-2.0, qdrant: Apache-2.0).
- Where can I find alternatives to datalevin or qdrant?
- GraphCanon lists graph-backed alternatives at datalevin alternatives and qdrant alternatives (datalevin 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, datalevin or qdrant?
- datalevin: 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 datalevin and qdrant?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: datalevin trust report; qdrant trust report.