Weaviate vs Chroma(2026)
Weaviate is better for teams that need richest feature set. Chroma is the stronger choice if easiest to get started. Weaviate is open-source (from $0) and Chroma is open-source (from $0).
Full feature breakdown, pricing details, and pros & cons below.
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Weaviate
Weaviate is an open-source vector database with built-in ML model integrations, graph-like data structures, and hybrid search — available self-hosted or as a managed cloud service.
Starting at $0
Visit WeaviateChroma
Chroma is the leading open-source embedding database for LLM applications. With a simple Python/JavaScript API, it is the easiest way to add memory and context to AI apps.
Starting at $0
Visit ChromaHow Do Weaviate and Chroma Compare on Features?
| Feature | Weaviate | Chroma |
|---|---|---|
| Pricing model | open-source | open-source |
| Starting price | $0 | $0 |
| Open source | ✓ | — |
| Built-in vectorization modules | ✓ | — |
| Hybrid search (BM25 + vector) | ✓ | — |
| GraphQL API | ✓ | — |
| Multi-tenancy | ✓ | — |
| Self-hostable | ✓ | — |
| Managed cloud | ✓ | — |
| Open source (Apache 2.0) | — | ✓ |
| In-memory or persistent | — | ✓ |
| Python and JS SDKs | — | ✓ |
| Multi-modal embeddings | — | ✓ |
| Filtering | — | ✓ |
| LangChain/LlamaIndex integration | — | ✓ |
| Simple API | — | ✓ |
Weaviate Pros and Cons vs Chroma
Weaviate
Chroma
Should You Use Weaviate or Chroma?
Choose Weaviate if…
- •Richest feature set
- •Built-in ML model support
- •Graph-like traversal
Choose Chroma if…
- •Easiest to get started
- •Perfect for prototyping
- •Great LLM framework integrations