Side by side

Supabase Vector vs Weaviate

Compare what each tool does, what it costs, and how it fits your workflow.

Designed for
The Postgres Vector database and AI Toolkit
The AI Native Vector Database
Primary task
Vector databases
Vector databases
Pricing
Freemium · Free + from $25/mo
Free Trial · Trial; then from $25/mo
Pricing details
Free + from $25/mo
Free + from $25/mo
Billing cycle
Monthly
Monthly
API access
Not documented
Not documented
Platforms
Web
Web
Integrations
Not documented
Slack
Source rating
No rating recorded
1.0 / 5 · 1 ratings
Catalog views
96
2.2k
Estimated monthly traffic
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67.7K
Catalog imported
30 Aug 2026
29 Aug 2026
Listed strengths
  • Open-source PostgreSQL Vector database
  • Integrated in Supabase ecosystem
  • pgvector for storing embeddings
  • Automatic tagging in vector store
  • Detection patterns for data management
  • Stores vector embeddings
  • Scales to billions objects
  • Lightning-fast vector similarity search
  • Supports keyword-based search
  • Supports vector search
Listed limitations
  • Limited to Postgres database
  • Depends on Supabase ecosystem
  • Complex permissions system
  • Requires manual data centre selection
  • No native support for non-vector data
  • Limited integrations
  • No commercial support
  • Open-source drawbacks
  • Requires ML model building
  • Learning curve

← Supabase Vector Weaviate →