Company comparison
Qdrant vs Chroma
Radar profile, momentum bars, and stack placement side by side.
Qdrant
Not scored
momentum
Chroma
Not scored
momentum
Qdrant capital
—
Chroma capital
—
No radar series.
Momentum head-to-head
Attribute tape
| Field | Qdrant | Chroma |
|---|---|---|
| Category | Data infrastructure | Data infrastructure |
| Stack | Layer 3 | Layer 3 |
| HQ | Berlin, Germany | San Francisco, CA, United States |
| Founded | — | — |
| Status | Operating | Operating |
| Funding | — | — |
| Momentum | — | — |
| Summary | Qdrant is an open-source vector search engine and vector database written in Rust, designed for high-performance similarity search, hybrid search, and filtered retrieval at scale. It supports self-hosted, managed cloud (Qdrant Cloud), and embedded edge (Qdrant Edge) deployments for RAG pipelines, semantic search, recommendation systems, and AI-agent memory. | Chroma is an open-source, AI-native vector database and search infrastructure layer for LLM applications, RAG pipelines, and AI agents. It supports vector, sparse, full-text, and metadata search in a single Apache 2.0-licensed package, available embedded, self-hosted, or via Chroma Cloud. |
| Who for | Teams evaluating AI vendors in this category. | Teams evaluating AI vendors in this category. |
| Differentiator | Qdrant is an open-source vector search engine and vector database written in Rust, designed for high-performance similarity search, hybrid search, and filtered retrieval at scale. It supports self-hosted, managed cloud (Qdrant Cloud), and embedded edge (Qdrant Edge) deployments for RAG pipelines, semantic search, recommendation systems, and AI-agent memory. | Chroma is an open-source, AI-native vector database and search infrastructure layer for LLM applications, RAG pipelines, and AI agents. It supports vector, sparse, full-text, and metadata search in a single Apache 2.0-licensed package, available embedded, self-hosted, or via Chroma Cloud. |