Home/Compare/chroma vs weaviate

Comparison

chroma vs weaviate

Verdict

Pick chroma if chroma is an open-source data infrastructure for AI designed to support vector, hybrid, and full-text search capabilities with high performance; pick weaviate if weaviate is an open-source vector database with strong support for hybrid searches and scalable cloud-native deployments.

Markdown twin · chroma alternatives · weaviate alternatives

GraphCanon updated 2w

chroma logo

chroma

chroma-core/chroma

29kpushed Jul 27, 2026
vs
weaviate logo

weaviate

weaviate/weaviate

17kpushed Aug 1, 2026

Trust & integrity

Signalchromaweaviate
Maintenance
Very active (0d since push)
As of 3w · github_public_v1
Very active (1d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
Published findings
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

chroma
Search infrastructure for AI
weaviate
Open-source vector database for storing objects and vectors with structured filtering

Stars

chroma
29k
weaviate
17k

Forks

chroma
2.4k
weaviate
1.4k

Open issues

chroma
746
weaviate
620

Language

chroma
Rust
weaviate
Go

Adopt for

chroma
Chroma is an open-source data infrastructure for AI designed to support vector, hybrid, and full-text search capabilities with high performance.
weaviate
Weaviate is an open-source vector database with strong support for hybrid searches and scalable cloud-native deployments.

Persona

chroma
-
weaviate
-

Runtime

chroma
-
weaviate
-

License

chroma
Chroma is released under the Apache 2.0 license.
weaviate
BSD-3-Clause

Last pushed

chroma
Jul 27, 2026
weaviate
Aug 1, 2026

Categories

chroma
Data & Retrieval, Vector Databases
weaviate
Data & Retrieval, Vector Databases

Trust and health

Days since push

chroma
0d
weaviate
1d

Open issues (now)

chroma
746
weaviate
620

Full report

weaviate
Trust report

Typed relationship

chroma alternative weaviateBoth Chroma and Weaviate are open-source vector databases designed for scalable semantic search, making them direct alternatives in the AI ecosystem.

Shared compatibility

  • Python · chroma: Python runtime · weaviate: Python runtime

Choose chroma if…

  • chroma is primarily Rust; weaviate is Go.
  • License: chroma is Apache-2.0, weaviate is BSD-3-Clause.
  • Pricing: The open-source version is free to use and modify; the hosted service (Chroma Cloud) has a freemium model offering $5 of initial credits..
  • Requirements: Min 1 GB RAM.
  • Both Chroma and Weaviate are open-source vector databases designed for scalable semantic search, making them direct alternatives in the AI ecosystem.
  • Tags unique to chroma: agents, ai-agents, database, full-text-search.
  • - When you require a high-performance data infrastructure that can handle complex query needs for AI applications. - If your project necessitates fast, cost-effective, and scalable serverless services

When NOT to use chroma

  • - In scenarios where a more mature or enterprise-grade solution is required, as Chroma might be rapidly evolving and not yet fully stabilized.
  • - If your project requires extensive customization at the lower levels that the relatively new tool might not support comprehensively yet
  • - When the specific need for an AI application does not benefit from vector, hybrid, or full-text search capabilities that Chroma excels in.

Choose weaviate if…

  • weaviate is primarily Go; chroma is Rust.
  • License: weaviate is BSD-3-Clause, chroma is Apache-2.0.
  • Requirements: Requires Docker; Deployment on Docker requires a Docker environment.; For cloud deployments, compatible environments such as AWS, GCP require associated accounts and configurations..
  • Both Chroma and Weaviate are open-source vector databases designed for scalable semantic search, making them direct alternatives in the AI ecosystem.
  • Tags unique to weaviate: approximate-nearest-neighbor-search, grpc, information-retrieval, mlops.
  • When you need to integrate both vector search capabilities and traditional SQL-like structured queries into your application.

When NOT to use weaviate

  • If your project requires a proprietary license; Weaviate's open-source nature may not align with restrictive licensing needs.
  • When you need immediate access to specific vector embedding models that are not natively supported by Weaviate, without the flexibility of integrating additional models via Docker or Kubernetes.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: chroma 29k · weaviate 17k (synced Jul 28, 2026).

Common questions

What is the difference between chroma and weaviate?
chroma: Search infrastructure for AI. weaviate: Open-source vector database for storing objects and vectors with structured filtering. See the comparison table for live GitHub stats and shared categories.
When should I choose chroma over weaviate?
Choose chroma over weaviate when chroma is primarily Rust; weaviate is Go; License: chroma is Apache-2.0, weaviate is BSD-3-Clause; Pricing: The open-source version is free to use and modify; the hosted service (Chroma Cloud) has a freemium model offering $5 of initial credits.; Requirements: Min 1 GB RAM; Both Chroma and Weaviate are open-source vector databases designed for scalable semantic search, making them direct alternatives in the AI ecosystem; Tags unique to chroma: agents, ai-agents, database, full-text-search; - When you require a high-performance data infrastructure that can handle complex query needs for AI applications. - If your project necessitates fast, cost-effective, and scalable serverless services.
When should I choose weaviate over chroma?
Choose weaviate over chroma when weaviate is primarily Go; chroma is Rust; License: weaviate is BSD-3-Clause, chroma is Apache-2.0; Requirements: Requires Docker; Deployment on Docker requires a Docker environment.; For cloud deployments, compatible environments such as AWS, GCP require associated accounts and configurations.; Both Chroma and Weaviate are open-source vector databases designed for scalable semantic search, making them direct alternatives in the AI ecosystem; Tags unique to weaviate: approximate-nearest-neighbor-search, grpc, information-retrieval, mlops; When you need to integrate both vector search capabilities and traditional SQL-like structured queries into your application.
When should I avoid chroma?
- In scenarios where a more mature or enterprise-grade solution is required, as Chroma might be rapidly evolving and not yet fully stabilized. - If your project requires extensive customization at the lower levels that the relatively new tool might not support comprehensively yet - When the specific need for an AI application does not benefit from vector, hybrid, or full-text search capabilities that Chroma excels in.
When should I avoid weaviate?
If your project requires a proprietary license; Weaviate's open-source nature may not align with restrictive licensing needs. When you need immediate access to specific vector embedding models that are not natively supported by Weaviate, without the flexibility of integrating additional models via Docker or Kubernetes.
Is chroma or weaviate more popular on GitHub?
chroma has more GitHub stars (28,898 vs 16,681). Stars measure visibility, not whether either tool fits your constraints.
Are chroma and weaviate open source?
Yes - both are open-source projects on GitHub (chroma: Apache-2.0, weaviate: BSD-3-Clause).
Where can I find alternatives to chroma or weaviate?
GraphCanon lists graph-backed alternatives at chroma alternatives and weaviate alternatives (chroma 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, chroma or weaviate?
chroma: 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 chroma and weaviate?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chroma trust report; weaviate trust report.

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