Chroma vs Pinecone
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.
Pinecone — The vector database for AI applications. Pinecone is a managed vector database purpose-built for production AI workloads, offering serverless indexes, hybrid search, and low-latency queries at scale.
Feature comparison
| Feature | Chroma | Pinecone |
|---|---|---|
| Pricing model | Freemium | Freemium |
| Starting price | Usage-based | $50/mo |
| Free tier | Yes | Yes |
| Open source | Yes | No |
| Type | Hybrid | Managed |
| Free Tier | Self-host unlimited | 2GB storage |
| Serverless | No | Yes |
| Self-hosted | Yes | No |
| Multi-tenant | No | Yes |
| Hybrid Search | No | Yes |
| Max Dimensions | 16384 | 20000 |
| 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
Pinecone
The vector database for AI applications
Pros
- Purpose-built for production RAG
- Serverless pricing scales down to zero
- Best-in-class latency at scale
- Simple SDK in every language
Cons
- Closed source
- Costs scale with pod hours
- Fewer features than general-purpose DBs
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 Pinecone if a free tier is important for your stage.