ChromaDB vs Weaviate
ChromaDB is the simplest way to get started — embed it in your Python app, zero config. Weaviate is a full-featured production database with clustering, multi-tenancy, and built-in ML modules. Chroma for prototyping and small apps; Weaviate for production deployments.
ChromaDB
The AI-native open-source embedding database
Python / RustApache-2.0open-source
Key Features
- Embedded & client/server modes
- Automatic embedding generation
- Metadata filtering
- Python & JavaScript SDKs
- LangChain integration
- Simple, intuitive API
Pricing
Open SourceFree
CloudComing soon
Use Cases
Prototyping RAG appsLocal AI developmentChatbot memoryDocument Q&A
Weaviate
AI-native vector database with built-in vectorizers
GoBSD-3-Clauseopen-source
Key Features
- Built-in vectorization modules
- Hybrid BM25 + vector search
- GraphQL & REST APIs
- Multi-modal support
- Horizontal scaling
- RBAC & multi-tenancy
Pricing
Open SourceFree
Cloud (Sandbox)Free
Cloud (Standard)From ~$25/mo
EnterpriseCustom
Use Cases
Semantic searchGenerative search (RAG)ClassificationImage search
Verdict
ChromaDB for fast prototyping. Weaviate for production-grade deployments.
Choose ChromaDB if you need:
- ✓Complete control over deployment and data
- ✓Source code access for customization
- ✓Embedded & client/server modes
- ✓Automatic embedding generation
- ✓Metadata filtering
Choose Weaviate if you need:
- ✓Self-hosted deployment flexibility
- ✓No vendor lock-in or usage limits
- ✓Built-in vectorization modules
- ✓Hybrid BM25 + vector search
- ✓GraphQL & REST APIs