# ChromaDB: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 5 judge labels across 1 category by 4 of 14 models. Page: https://www.gane.ai/index/it/vendors/chromadb

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Vector databases](https://www.gane.ai/index/it/it-data/vector-databases/index.md) | 0% | 10 | 0% | 5 |

## What the models said for it

- "For prototyping or very small projects; runs locally, zero setup, good for development." (GLM 4.7 FlashX, Vector databases)
- "Easiest to Get Started ... Trade-off: Not production-scalable past ~1M vectors" (MiniMax M2.5, Vector databases)
- "If you are building an MVP or running local code: Use ChromaDB." (Gemini 3.5 Flash, Vector databases)
- "If you are rapidly prototyping in Python/JS: ChromaDB" (Gemini 3.5 Flash, Vector databases)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 2 | 0 | 0 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |

## Sources returned with these answers

The sites and pages cited by the answers that named ChromaDB, from 13 of the 16 answers that named it (only the models that return a source list).

### Domains cited

- github.com: 11
- dev.to: 9
- linkedin.com: 8
- actian.com: 6
- pingcap.com: 4
- reddit.com: 4
- s3.amazonaws.com: 4
- atlan.com: 3
- m365.fm: 3
- qdrant.tech: 3

### Pages cited

- https://actian.com/blog/developer/is-actian-vectorai-db-the-best-production-chromadb-alternative: 4
- https://s3.amazonaws.com/eckerson/content_assets/assets/000/000/470/original/111424_TT_Vector_Database_v2_(1).pdf: 4
- https://actian.com/blog/databases/how-to-evaluate-vector-databases-in-2026: 3
- https://dev.to/arnav_sharma_25c1c7572a20/the-ai-vendor-lock-in-nobody-talks-about-until-they-are-stuck-2277: 3
- https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/anything-llm-tutorial/05-vector-stores.md: 3
- https://github.com/ombharatiya/ai-system-design-guide/blob/main/06-retrieval-systems/04-vector-databases.md: 3
- https://github.com/techlearn-center/ai-engineer-interview-prep/blob/master/10_system_design/TRADEOFFS_AND_DECISIONS.md: 3
- https://github.com/vansharora156/nexus-rag/blob/main/docs/adr/001-vector-db.md: 3

## In its own words

What ChromaDB's own pages state, read 2026-09-28. Stated by the vendor, not checked by the index.

- Positioning: This is a collection of small guides and recipes to help you get started with Chroma. (https://chromadb.dev/)
- For: For General Users; For Power Users (https://chromadb.dev/)
- Integrations claimed: 3 (https://chromadb.dev/)

## What it publishes

Every page chromadb.dev exposes, read 2026-09-29: 61 addresses. By kind, pages and the last 90 days:


## Record

- Method: https://www.gane.ai/index/it/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/it.