---
title: "datalevin vs weaviate"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/datalevin-datalevin-vs-weaviate-weaviate"
tools: ["datalevin-datalevin", "weaviate-weaviate"]
---

# datalevin vs weaviate

Neutral, constraint-first comparison with live GitHub stats.

| | [datalevin](/tools/datalevin-datalevin.md) | [weaviate](/tools/weaviate-weaviate.md) |
| --- | --- | --- |
| Tagline | A simple, fast and versatile Datalog database | Open-source vector database for scalable semantic search |
| Stars | 1,437 | 16,537 |
| Forks | 82 | 1,341 |
| 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 |
| Categories | Vector Databases | Data & Retrieval, Vector Databases |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [datalevin](/tools/datalevin-datalevin.md) | [weaviate](/tools/weaviate-weaviate.md) |
| --- | --- | --- |
| Open issues (now) | 27 | 579 |
| Security scan | No lockfile | 12 low (12 low) |
| Full report | [trust report](/tools/datalevin-datalevin/trust.md) | [trust report](/tools/weaviate-weaviate/trust.md) |

**Typed relationship:** datalevin _(alternative)_ weaviate

Weaviate and Datalevin both serve as scalable semantic search databases, though they have different implementation details and focus areas.

## Decision facts: datalevin

- **Pricing:** freemium
- **Requirements:** Min 1 GB RAM
- **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
- **License detail:** 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

## Decision facts: weaviate

- **Pricing:** freemium - 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.
- **Adopt for:** 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
- **License detail:** Weaviate is distributed under BSD-3-Clause License, allowing free use in most contexts but requires preservation of copyright notices and disclaimers

## Choose when

### 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.

### 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 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 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.

## 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.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=datalevin-datalevin`](/api/graphcanon/graph?tool=datalevin-datalevin)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_