WeaviatevsQdrant

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

Qdrant

Vector Databases

High-performance vector database for AI applications

FeatureWeaviateQdrant
CategoryVector DatabasesVector Databases
PricingFree (open-source) + CloudFree (open-source) + Cloud
GitHub Stars
12k
More stars
21k
PlatformsLinux, Docker, WebLinux, macOS, Docker
Key Features
  • Vector search
  • Hybrid search
  • AI modules
  • GraphQL
  • Multi-tenancy
  • Vector search
  • Filtering
  • Distributed
  • REST/gRPC API
  • Rust-based
Pros
  • + Built-in AI modules
  • + Hybrid search capability
  • + GraphQL API
  • + Multi-tenancy
  • + Active development
  • + Blazing fast (Rust-based)
  • + Advanced filtering capabilities
  • + Production-ready scaling
  • + Rich API (REST + gRPC)
  • + Great documentation
Cons
  • Complex configuration
  • Resource heavy
  • Cloud pricing unclear
  • Smaller community than Pinecone
  • More complex than ChromaDB
  • Self-hosting requires resources
  • Smaller ecosystem
  • Cloud pricing can be high
Tags
vector-dbsearchgraphqlopen-source
vector-dbrusthigh-performanceopen-source

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