WeaviatevsChromaDB

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Weaviate

Vector Databases

Open-source vector database with built-in AI modules

ChromaDB

Vector Databases

Open-source embedding database for AI applications

FeatureWeaviateChromaDB
CategoryVector DatabasesVector Databases
PricingFree (open-source) + CloudFree (open-source)
GitHub Stars
12k
More stars
16k
PlatformsLinux, Docker, WebLinux, macOS, Windows, Docker
Key Features
  • Vector search
  • Hybrid search
  • AI modules
  • GraphQL
  • Multi-tenancy
  • Vector search
  • Embeddings
  • Python/JS SDK
  • Simple API
  • Local + cloud
Pros
  • + Built-in AI modules
  • + Hybrid search capability
  • + GraphQL API
  • + Multi-tenancy
  • + Active development
  • + Simplest API of any vector DB
  • + Python + JavaScript SDKs
  • + In-memory or persistent storage
  • + Great for prototyping
  • + Open-source
Cons
  • Complex configuration
  • Resource heavy
  • Cloud pricing unclear
  • Smaller community than Pinecone
  • Not ideal for massive scale
  • Limited query capabilities vs Qdrant
  • No built-in clustering
  • Young project
Tags
vector-dbsearchgraphqlopen-source
vector-dbembeddingsragopen-source

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