Chroma vs LanceDB
Compare Chroma and LanceDB on deployment, pricing, model support, and more.
Chroma
- Tagline
- Open-source embedding database for LLM apps — start in 3 lines of Python
- Description
- Chroma is the simplest open-source vector database for AI applications. It runs in-process in Python or as a separate server, stores and retrieves embeddings with minimal setup, and integrates natively with LangChain and LlamaIndex. The go-to choice for RAG prototyping and small-to-medium production deployments.
- Category
- LLM Frameworks
- Pricing
- Free
- Metric
- 29,282 GitHub stars (source)
- Link
- Visit
LanceDB
- Tagline
- Embedded vector database for AI — serverless, columnar storage with Lance format
- Description
- LanceDB is an open-source embedded vector database built for AI applications. Unlike server-based vector databases, LanceDB runs embedded in your Python or JavaScript process — no separate database server required. Uses the Lance columnar storage format for efficient vector + metadata storage, supporting fast nearest-neighbor search with filtering. Available open source or as LanceDB Cloud.
- Category
- LLM Frameworks
- Pricing
- Free
- Metric
- 11,399 GitHub stars (source)
- Link
- Visit
| Attribute | Chroma | LanceDB |
|---|---|---|
| Tagline | Open-source embedding database for LLM apps — start in 3 lines of Python | Embedded vector database for AI — serverless, columnar storage with Lance format |
| Category | LLM Frameworks | LLM Frameworks |
| Pricing | Free | Free |
| Description | Chroma is the simplest open-source vector database for AI applications. It runs in-process in Python or as a separate server, stores and retrieves embeddings with minimal setup, and integrates natively with LangChain and LlamaIndex. The go-to choice for RAG prototyping and small-to-medium production deployments. | LanceDB is an open-source embedded vector database built for AI applications. Unlike server-based vector databases, LanceDB runs embedded in your Python or JavaScript process — no separate database server required. Uses the Lance columnar storage format for efficient vector + metadata storage, supporting fast nearest-neighbor search with filtering. Available open source or as LanceDB Cloud. |
| Metric | 29,282 GitHub stars (source) | 11,399 GitHub stars (source) |
| Link | Visit | Visit |