QdrantvsDust

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

Qdrant

Vector Databases

High-performance vector database for AI applications

Full review →Website ↗

Dust

AI Agent Frameworks

Platform for building and deploying AI assistants

Full review →Website ↗
FeatureQdrantDust
CategoryVector DatabasesAI Agent Frameworks
PricingFree (open-source) + CloudFree + Pro $29/mo
GitHub Stars
✓ More stars
21k
3k
PlatformsLinux, macOS, DockerWeb
Key Features
  • ✓ Vector search
  • ✓ Filtering
  • ✓ Distributed
  • ✓ REST/gRPC API
  • ✓ Rust-based
  • ✓ Data connections
  • ✓ Custom assistants
  • ✓ Team collaboration
  • ✓ Workflow builder
  • ✓ Enterprise
Pros
  • + Blazing fast (Rust-based)
  • + Advanced filtering capabilities
  • + Production-ready scaling
  • + Rich API (REST + gRPC)
  • + Great documentation
  • + Team-focused design
  • + Data connectors
  • + Enterprise security
  • + Custom assistants
  • + Clean interface
Cons
  • − More complex than ChromaDB
  • − Self-hosting requires resources
  • − Smaller ecosystem
  • − Cloud pricing can be high
  • − Enterprise pricing
  • − Limited free tier
  • − Less flexible than frameworks
  • − Smaller community
Tags
vector-dbrusthigh-performanceopen-source
assistantsenterpriseworkflowscollaboration

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