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Weaviate vs Qdrant

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Weaviate compared with Qdrant
DetailWeaviateQdrant
What it doesThe AI database developers love Vector Search Engine
StageNot given Established
FoundedNot given 2021
Based inNot given Not given
Pricing modelNot given Not given
PricingNot given Not given
Key features
  • Vector Database for storing and searching high-dimensional vectors
  • Query Agent for natural language database queries
  • Built-in Embeddings from text, images, and more
  • Engram for personalized AI experiences
  • Hybrid search combining vector and keyword search
  • Multi-tenancy support
  • Flexible deployment options
  • High availability and replication
  • RBAC and SOC 2 compliance
  • REST, gRPC, and official client SDKs
What makes it different
  • Open source with no vendor lock-in
  • Production-ready for enterprise use
  • Billion-scale architecture
  • Unified platform with AI features under one roof
  • Easy to deploy and scale
  • Written entirely in Rust with SIMD optimization and custom Gridstore
  • One-stage filtering during traversal for low latency
  • Multiple deployment options from open-source to managed cloud
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)78 no change since last check79 no change since last check
Trust Flow (Majestic)3132
Citation Flow (Majestic)5352
Referring domains (Majestic)59786190

3 details filled in for both companies.

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