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datalevin vs weaviate

datalevin (A simple, fast and versatile Datalog database) vs weaviate (Open-source vector database for scalable semantic search) - live GitHub stats and typed graph relationships, not marketing.

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datalevin

datalevin/datalevin

★ 1.4kpushed Jul 8, 2026

weaviate

weaviate/weaviate

★ 17kpushed Jul 8, 2026

Tagline

datalevin: A simple, fast and versatile Datalog database
weaviate: Open-source vector database for scalable semantic search

Stars

datalevin: 1.4k
weaviate: 17k

Forks

datalevin: 82
weaviate: 1.3k

Open issues

datalevin: 27
weaviate: 579

Language

datalevin: Clojure
weaviate: Go

Adopt for

datalevin: Datalevin is suited for applications needing the simplicity, speed, and expressiveness of Datalog with straightforward ACID compliance. Its cost-based query optimizer offers competitive performance against SQL RDBMS and献
weaviate: Weaviate is an open-source vector database with robust cloud-native architecture, supporting both automated and custom vector embedding. It integrates multiple machine learning models like OpenAI, Cohere, and HuggingFace

Persona

datalevin: -
weaviate: -

Runtime

datalevin: -
weaviate: -

License

datalevin: Datalevin is available under the EPL-2.0 license, meaning it provides a strong open-source licensing framework suitable for both commercial and custom purposes, with conditions on attribution, copy of
weaviate: Weaviate is distributed under BSD-3-Clause License, allowing free use in most contexts but requires preservation of copyright notices and disclaimers

Last pushed

datalevin: Jul 8, 2026
weaviate: Jul 8, 2026

	datalevin	weaviate
Tagline	A simple, fast and versatile Datalog database	Open-source vector database for scalable semantic search
Stars	1.4k	17k
Forks	82	1.3k
Open issues	27	579
Language	Clojure	Go
Adopt for	Datalevin is suited for applications needing the simplicity, speed, and expressiveness of Datalog with straightforward ACID compliance. Its cost-based query optimizer offers competitive performance against SQL RDBMS and献	Weaviate is an open-source vector database with robust cloud-native architecture, supporting both automated and custom vector embedding. It integrates multiple machine learning models like OpenAI, Cohere, and HuggingFace
Persona	-	-
Runtime	-	-
License	Datalevin is available under the EPL-2.0 license, meaning it provides a strong open-source licensing framework suitable for both commercial and custom purposes, with conditions on attribution, copy of	Weaviate is distributed under BSD-3-Clause License, allowing free use in most contexts but requires preservation of copyright notices and disclaimers
Last pushed	Jul 8, 2026	Jul 8, 2026
Categories	Vector Databases	Data & Retrieval, Vector Databases
Trust and health
Open issues (now)	27	579
Security scan	No lockfile	12 low (12 low)
Full report	Trust report	Trust report
Typed relationship	datalevin alternative weaviateWeaviate and Datalevin both serve as scalable semantic search databases, though they have different implementation details and focus areas.

Choose datalevin if…

datalevin is primarily Clojure; weaviate is Go.
License: datalevin is EPL-2.0, weaviate is BSD-3-Clause.
Requirements: Min 1 GB RAM.
Weaviate and Datalevin both serve as scalable semantic search databases, though they have different implementation details and focus areas.
Tags unique to datalevin: embedded-database, vector-database, graph-database, ai-native.
When you need a simple yet durable Datalog database with direct updates and deletions without complex temporal handling.

When NOT to use datalevin

When working in environments strictly requiring SQL-based relational database systems and familiarity with complex temporal handling similar to Datomic®.
If you need extended transactional semantics such as those offered by Datomic®, which includes more intricate time-based operations.
In cases where the overhead of embedding a Datalog engine for less critical query performance is not justified.

GitHub Details

Choose weaviate if…

weaviate is primarily Go; datalevin is Clojure.
License: weaviate is BSD-3-Clause, datalevin is EPL-2.0.
Pricing: Open-source version is available for free; Weaviate Cloud offers premium paid plans with enterprise-level features..
Requirements: Min 2 GB RAM; Requires Docker; Requires a container environment like Docker or Kubernetes for deployment.; Supports importing pre-generated vector embeddings along with objects..
Weaviate and Datalevin both serve as scalable semantic search databases, though they have different implementation details and focus areas.
Tags unique to weaviate: grpc, information-retrieval, mlops, approximate-nearest-neighbor-search.
Also covers Data & Retrieval.
weaviate ships Docker support for self-hosted deployment.
When you require a scalable solution for semantic search that can integrate both object data and vectors efficiently.

When NOT to use weaviate

In contexts where an open-source solution is not preferred or compliance requires proprietary software.
For projects that do not require the combination of vector similarity search with structured filtering and might benefit from a more specialized database solution.
When the desired deployment environment does not align with Docker, Kubernetes, or major cloud platforms supported by Weaviate.

GitHub Details

Explore

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Common questions

What is the difference between datalevin and weaviate?: datalevin: A simple, fast and versatile Datalog database. weaviate: Open-source vector database for scalable semantic search. See the comparison table for live GitHub stats and shared categories.
When should I choose datalevin over weaviate?: Choose datalevin over weaviate when datalevin is primarily Clojure; weaviate is Go; License: datalevin is EPL-2.0, weaviate is BSD-3-Clause; Requirements: Min 1 GB RAM; Weaviate and Datalevin both serve as scalable semantic search databases, though they have different implementation details and focus areas; Tags unique to datalevin: embedded-database, vector-database, graph-database, ai-native; When you need a simple yet durable Datalog database with direct updates and deletions without complex temporal handling.
When should I choose weaviate over datalevin?: Choose weaviate over datalevin when weaviate is primarily Go; datalevin is Clojure; License: weaviate is BSD-3-Clause, datalevin is EPL-2.0; Pricing: Open-source version is available for free; Weaviate Cloud offers premium paid plans with enterprise-level features.; Requirements: Min 2 GB RAM; Requires Docker; Requires a container environment like Docker or Kubernetes for deployment.; Supports importing pre-generated vector embeddings along with objects.; Weaviate and Datalevin both serve as scalable semantic search databases, though they have different implementation details and focus areas; Tags unique to weaviate: grpc, information-retrieval, mlops, approximate-nearest-neighbor-search; Also covers Data & Retrieval; weaviate ships Docker support for self-hosted deployment; When you require a scalable solution for semantic search that can integrate both object data and vectors efficiently.
When should I avoid datalevin?: When working in environments strictly requiring SQL-based relational database systems and familiarity with complex temporal handling similar to Datomic®. If you need extended transactional semantics such as those offered by Datomic®, which includes more intricate time-based operations. In cases where the overhead of embedding a Datalog engine for less critical query performance is not justified.
When should I avoid weaviate?: In contexts where an open-source solution is not preferred or compliance requires proprietary software. For projects that do not require the combination of vector similarity search with structured filtering and might benefit from a more specialized database solution. When the desired deployment environment does not align with Docker, Kubernetes, or major cloud platforms supported by Weaviate.
Is datalevin or weaviate more popular on GitHub?: weaviate has more GitHub stars (16,537 vs 1,437). Stars measure visibility, not whether either tool fits your constraints.
Are datalevin and weaviate open source?: Yes - both are open-source projects on GitHub (datalevin: EPL-2.0, weaviate: BSD-3-Clause).
Where can I find alternatives to datalevin or weaviate?: GraphCanon lists graph-backed alternatives at /tools/datalevin-datalevin/alternatives and /tools/weaviate-weaviate/alternatives (/tools/datalevin-datalevin/alternatives.md, /tools/weaviate-weaviate/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 /compare/datalevin-datalevin-vs-weaviate-weaviate.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, datalevin or weaviate?: datalevin: 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 datalevin and weaviate?: GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: datalevin: /tools/datalevin-datalevin/trust; weaviate: /tools/weaviate-weaviate/trust.