Company comparison
Mage vs Chroma
Radar profile, momentum bars, and stack placement side by side.
Mage
Not scored
momentum
Chroma
Not scored
momentum
Mage capital
—
Chroma capital
—
No radar series.
Momentum head-to-head
Attribute tape
| Field | Mage | Chroma |
|---|---|---|
| Category | Data infrastructure | Data infrastructure |
| Stack | Layer 3 | Layer 3 |
| HQ | — | San Francisco, CA, United States |
| Founded | — | — |
| Status | Operating | Operating |
| Funding | — | — |
| Momentum | — | — |
| Summary | Mage is an open-source data and AI workflow platform that lets data engineers build, orchestrate, and monitor production pipelines using a notebook-style, block-based UI with support for Python, SQL, and R. It is offered as both a self-hosted open-source tier (Mage OSS) and a managed commercial tier (Mage Pro). | 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 | Mage is an open-source data and AI workflow platform that lets data engineers build, orchestrate, and monitor production pipelines using a notebook-style, block-based UI with support for Python, SQL, and R. It is offered as both a self-hosted open-source tier (Mage OSS) and a managed commercial tier (Mage Pro). | 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. |
