Chroma vs Milvus
Comparing two vector database platforms on pricing, features, free tier, and trade-offs.
Quick summary
Chroma — The AI-native open source embedding database. Chroma is an open-source embedding database designed for simplicity, with Python-first DX, perfect for prototyping and small-to-medium RAG apps.
Milvus — Open source vector database for GenAI. Milvus is a CNCF-graduated open-source vector database built for massive scale, with managed cloud via Zilliz.
Feature comparison
| Feature | Chroma | Milvus |
|---|---|---|
| Pricing model | Freemium | Freemium |
| Starting price | Usage-based | $65/mo (Zilliz) |
| Free tier | Yes | Yes |
| Open source | Yes | Yes |
| Type | Hybrid | Hybrid |
| Free Tier | Self-host unlimited | Zilliz free cluster |
| Serverless | No | Yes |
| Self-hosted | Yes | Yes |
| Multi-tenant | No | Yes |
| Hybrid Search | No | Yes |
| Max Dimensions | 16384 | 32768 |
| Metadata Filtering | Yes | Yes |
Chroma
The AI-native open source embedding database
Pros
- Dead simple Python API
- Fast local development
- Fully open source
- Great for prototyping
Cons
- Less mature at production scale
- No hybrid BM25 search
- Managed cloud relatively new
Milvus
Open source vector database for GenAI
Pros
- Scales to billions of vectors
- CNCF-graduated, enterprise-ready
- Multiple index types (HNSW, IVF, DiskANN)
- Strong in China / APAC market
Cons
- Heavy for small use cases
- Steep learning curve
- Ops complex if self-hosting
Which should you choose?
Choose Chroma if you value open source and want the option to self-host, and a free tier is important for your stage. Choose Milvus if you value open source and want the option to self-host, and a free tier is important for your stage.