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Comparison

chroma vs qdrant

Verdict

Qdrant and Chroma are both open-source tools designed for AI applications, each with unique features and use cases. Qdrant focuses on high-performance vector search and is built for scalable, distributed deployment. Chroma, on the other hand, offers a broader range of search capabilities including vector, hybrid, and full-text search, and supports multiple programming languages.

Markdown twin · chroma alternatives · qdrant alternatives

GraphCanon updated Sep 30, 2026

82views this month

chroma logo

chroma

chroma-core/chroma

★ 29kpushed Sep 17, 2026
vs
qdrant logo

qdrant

qdrant/qdrant

★ 35kpushed Sep 18, 2026

Trust & integrity

Signalchromaqdrant
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · 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
chroma trust reportqdrant trust reportTrust methodology

Tagline

chroma
Search infrastructure for AI
qdrant
High-performance, massive-scale Vector Database and Vector Search Engine for AI

Stars

chroma
29k
qdrant
35k

Forks

chroma
2.5k
qdrant
2.7k

Open issues

chroma
864
qdrant
733

Language

chroma
Rust
qdrant
Rust

Adopt for

chroma
Chroma is an open-source data infrastructure for AI, offering vector, hybrid, and full-text search capabilities. It supports multiple programming languages and provides a simple API for managing collections and querying.
qdrant
Qdrant is a high-performance vector database and search engine built for AI applications, offering distributed deployment with sharding and replication.

Persona

chroma
-
qdrant
-

Runtime

chroma
-
qdrant
-

License

chroma
Chroma is licensed under the Apache-2.0 license, which is a permissive free software license.
qdrant
Qdrant is available under the Apache License, Version 2.0, which is a permissive free software license.

Last pushed

chroma
Sep 17, 2026
qdrant
Sep 18, 2026

Categories

chroma
Data & Retrieval, Vector Databases
qdrant
Vector Databases

Trust and health

Open issues (now)

chroma
864
qdrant
733

Stars delta

chroma
+422 (30d)
qdrant
+1.0k (30d)

Open issues delta

chroma
+118 (30d)
qdrant
+81 (30d)

OSV dependency advisories

chroma
Published findings
qdrant
No lockfile (source not queried)

Full report

chroma
Trust report
qdrant
Trust report

Typed relationship

chroma alternative qdrantChroma and Qdrant are both vector search engines aimed at next-generation AI applications, serving as alternatives due to their high performance and scalability.

Choose chroma if…

  • Pricing: Chroma is open-source and free to use, but it also offers a hosted service called Chroma Cloud, which is cost-effective and scalable, with $5 of free credits available..
  • Requirements: Min 1 GB RAM; Chroma can be installed via pip for Python and npm for JavaScript.; For client-server mode, you can run Chroma with a specified path for the database..
  • Chroma and Qdrant are both vector search engines aimed at next-generation AI applications, serving as alternatives due to their high performance and scalability.
  • Tags unique to chroma: agents, ai, ai-agents, database.
  • Also covers Data & Retrieval.
  • When you need a simple and efficient API for creating collections, adding documents, and querying data with vector, hybrid, and full-text search capabilities.

When NOT to use chroma

  • If you need a solution that is tightly integrated with a specific database system that Chroma does not support or integrate with.
  • When you require a more complex or specialized search infrastructure that offers features beyond vector, hybrid, and full-text search.
  • If you are working in an environment where Rust is not a preferred language, and you need a tool that is more aligned with your existing tech stack.
  • When you need a solution that is not open-source and prefer proprietary software with dedicated support and features.
GitHubDetails

Choose qdrant if…

  • Pricing: Qdrant offers a free open-source version under the Apache License, with additional paid services available in the cloud..
  • Requirements: Min 2 GB RAM; Qdrant supports distributed deployment, which may require additional resources depending on the scale of deployment..
  • Chroma and Qdrant are both vector search engines aimed at next-generation AI applications, serving as alternatives due to their high performance and scalability.
  • Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, hybrid-search.
  • When you need a scalable solution for vector search that supports distributed deployment with sharding and replication.

When NOT to use qdrant

  • If your project requires a database that is not built in Rust, and you have constraints against using Rust-based solutions.
  • When you need a vector database that does not support distributed deployment, as Qdrant's strength lies in its scalability features.
GitHubDetails

Explore

chroma trust report →qdrant trust report →Data & Retrieval category →Vector Databases category →All comparisonsStack workflowsTrending tools

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 · qdrant 35k (synced Sep 20, 2026).

Common questions

When would neither Qdrant nor Chroma be the best choice?
Neither Qdrant nor Chroma would be the best choice if a project requires a database that is not built in Rust and the team has constraints against using Rust-based solutions. Additionally, if a more complex or specialized search infrastructure is needed that goes beyond vector, hybrid, and full-text search capabilities, neither tool might fit the requirements.
What is the difference between chroma and qdrant?
chroma: Search infrastructure for AI. qdrant: High-performance, massive-scale Vector Database and Vector Search Engine for AI. See the comparison table for live GitHub stats and shared categories.
When should I choose chroma over qdrant?
Choose chroma over qdrant when Pricing: Chroma is open-source and free to use, but it also offers a hosted service called Chroma Cloud, which is cost-effective and scalable, with $5 of free credits available.; Requirements: Min 1 GB RAM; Chroma can be installed via pip for Python and npm for JavaScript.; For client-server mode, you can run Chroma with a specified path for the database.; Chroma and Qdrant are both vector search engines aimed at next-generation AI applications, serving as alternatives due to their high performance and scalability; Tags unique to chroma: agents, ai, ai-agents, database; Also covers Data & Retrieval; When you need a simple and efficient API for creating collections, adding documents, and querying data with vector, hybrid, and full-text search capabilities.
When should I choose qdrant over chroma?
Choose qdrant over chroma when Pricing: Qdrant offers a free open-source version under the Apache License, with additional paid services available in the cloud.; Requirements: Min 2 GB RAM; Qdrant supports distributed deployment, which may require additional resources depending on the scale of deployment.; Chroma and Qdrant are both vector search engines aimed at next-generation AI applications, serving as alternatives due to their high performance and scalability; Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, hybrid-search; When you need a scalable solution for vector search that supports distributed deployment with sharding and replication.
When should I avoid chroma?
If you need a solution that is tightly integrated with a specific database system that Chroma does not support or integrate with. When you require a more complex or specialized search infrastructure that offers features beyond vector, hybrid, and full-text search. If you are working in an environment where Rust is not a preferred language, and you need a tool that is more aligned with your existing tech stack. When you need a solution that is not open-source and prefer proprietary software with dedicated support and features.
When should I avoid qdrant?
If your project requires a database that is not built in Rust, and you have constraints against using Rust-based solutions. When you need a vector database that does not support distributed deployment, as Qdrant's strength lies in its scalability features.
Is chroma or qdrant more popular on GitHub?
qdrant has more GitHub stars (34,655 vs 29,320). Stars measure visibility, not whether either tool fits your constraints.
Are chroma and qdrant open source?
Yes - both are open-source projects on GitHub (chroma: Apache-2.0, qdrant: Apache-2.0).
Where can I find alternatives to chroma or qdrant?
GraphCanon lists graph-backed alternatives at chroma alternatives and qdrant alternatives (chroma 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, chroma or qdrant?
chroma: 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 chroma and qdrant?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chroma trust report; qdrant trust report.

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