Chroma vs Weaviate
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.
Weaviate — Open source vector database with built-in ML. Weaviate is an open-source vector database with native multi-modal search, built-in vectorizer modules, hybrid search, and cloud or self-hosted deployment.
Feature comparison
| Feature | Chroma | Weaviate |
|---|---|---|
| Pricing model | Freemium | Freemium |
| Starting price | Usage-based | $25/mo |
| Free tier | Yes | Yes |
| Open source | Yes | Yes |
| Type | Hybrid | Hybrid |
| Free Tier | Self-host unlimited | 14-day sandbox |
| Serverless | No | Yes |
| Self-hosted | Yes | Yes |
| Multi-tenant | No | Yes |
| Hybrid Search | No | Yes |
| Max Dimensions | 16384 | 65535 |
| 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
Weaviate
Open source vector database with built-in ML
Pros
- Fully open source, self-hostable
- Built-in vectorizer modules
- Native multi-modal (text + image)
- GraphQL API
Cons
- Heavier ops than Pinecone if self-hosting
- Cloud tier pricing more complex
- Community smaller than Pinecone's
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 Weaviate if you value open source and want the option to self-host, and a free tier is important for your stage.