Home/Compare/chroma vs lancedb

Comparison

chroma vs lancedb

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 lancedb if lanceDB is a developer-friendly, open-source embedded retrieval library for multimodal AI applications. It supports various SDKs and REST APIs, offering efficient functionalities including approximate nearest neighbor (k.

Markdown twin · chroma alternatives · lancedb alternatives

GraphCanon updated 3w

chroma logo

chroma

chroma-core/chroma

29kpushed Jul 27, 2026
vs
lancedb logo

lancedb

lancedb/lancedb

11kpushed Jul 28, 2026

Trust & integrity

Signalchromalancedb
Maintenance
Very active (0d since push)
As of 3w · github_public_v1
Very active (0d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
Published findings
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

chroma
Search infrastructure for AI
lancedb
Developer-friendly OSS embedded retrieval library for multimodal AI.

Stars

chroma
29k
lancedb
11k

Forks

chroma
2.4k
lancedb
972

Open issues

chroma
746
lancedb
630

Language

chroma
Rust
lancedb
Rust

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.
lancedb
LanceDB is a developer-friendly, open-source embedded retrieval library for multimodal AI applications. It supports various SDKs and REST APIs, offering efficient functionalities including approximate nearest neighbor (k

Persona

chroma
-
lancedb
-

Runtime

chroma
-
lancedb
-

License

chroma
Chroma is released under the Apache 2.0 license.
lancedb
Apache-2.0

Last pushed

chroma
Jul 27, 2026
lancedb
Jul 28, 2026

Categories

chroma
Data & Retrieval, Vector Databases
lancedb
Data & Retrieval, Vector Databases

Trust and health

Open issues (now)

chroma
746
lancedb
630

OSV dependency advisories

chroma
Published findings
lancedb
No lockfile (source not queried)

Full report

Typed relationship

chroma alternative lancedbChroma and LanceDB serve a similar purpose as infrastructure for searching within AI applications, offering functionality to store, index, and search over multimodal data and vectors.

Shared compatibility

  • Python · chroma: Python runtime · lancedb: Python runtime

Choose chroma if…

  • 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.
  • Chroma and LanceDB serve a similar purpose as infrastructure for searching within AI applications, offering functionality to store, index, and search over multimodal data and vectors.
  • 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 lancedb if…

  • Pricing: Open-source under Apache-2.0 license, ensuring free use and modification for everyone..
  • Chroma and LanceDB serve a similar purpose as infrastructure for searching within AI applications, offering functionality to store, index, and search over multimodal data and vectors.
  • Tags unique to lancedb: approximate-nearest-neighbor-search, image-search, nearest-neighbor-search, recommender-system.
  • - When you need an easy-to-use, fully featured search functionality, encompassing approximate nearest neighbor searches, image searches, semantic searches, etc., specifically tailored for multimodal A

When NOT to use lancedb

  • - Avoid LanceDB if your project requires real-time search latency below millisecond levels because the overhead for embedding storage and retrieval might affect performance.
  • - Not suitable when you are working with large-scale real-time applications that require extensive horizontal scalability beyond what its embedded design can offer.

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 · lancedb 11k (synced Jul 28, 2026).

Common questions

What is the difference between chroma and lancedb?
chroma: Search infrastructure for AI. lancedb: Developer-friendly OSS embedded retrieval library for multimodal AI.. See the comparison table for live GitHub stats and shared categories.
When should I choose chroma over lancedb?
Choose chroma over lancedb when 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; Chroma and LanceDB serve a similar purpose as infrastructure for searching within AI applications, offering functionality to store, index, and search over multimodal data and vectors; 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 lancedb over chroma?
Choose lancedb over chroma when Pricing: Open-source under Apache-2.0 license, ensuring free use and modification for everyone.; Chroma and LanceDB serve a similar purpose as infrastructure for searching within AI applications, offering functionality to store, index, and search over multimodal data and vectors; Tags unique to lancedb: approximate-nearest-neighbor-search, image-search, nearest-neighbor-search, recommender-system; - When you need an easy-to-use, fully featured search functionality, encompassing approximate nearest neighbor searches, image searches, semantic searches, etc., specifically tailored for multimodal A.
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 lancedb?
- Avoid LanceDB if your project requires real-time search latency below millisecond levels because the overhead for embedding storage and retrieval might affect performance. - Not suitable when you are working with large-scale real-time applications that require extensive horizontal scalability beyond what its embedded design can offer.
Is chroma or lancedb more popular on GitHub?
chroma has more GitHub stars (28,898 vs 11,014). Stars measure visibility, not whether either tool fits your constraints.
Are chroma and lancedb open source?
Yes - both are open-source projects on GitHub (chroma: Apache-2.0, lancedb: Apache-2.0).
Where can I find alternatives to chroma or lancedb?
GraphCanon lists graph-backed alternatives at chroma alternatives and lancedb alternatives (chroma markdown twin, lancedb 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 lancedb?
chroma: Very active. lancedb: 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 lancedb?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chroma trust report; lancedb trust report.

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