Side by side

turbopuffer vs Weaviate

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

Designed for
Search every byte with 10x cheaper vector search.
The AI Native Vector Database
Primary task
Vector databases
Vector databases
Pricing
Paid · from $64/mo
Free Trial · Trial; then from $25/mo
Pricing details
from $64/mo
Free + from $25/mo
Billing cycle
Monthly
Monthly
API access
Listed as available
Not documented
Platforms
Web
Web
Integrations
Not documented
Slack
Source rating
5.0 / 5 · 4 ratings
1.0 / 5 · 1 ratings
Catalog views
2.7k
2.2k
Estimated monthly traffic
—
67.7K
Catalog imported
31 Aug 2026
29 Aug 2026
Listed strengths
  • 10x cheaper vector search
  • Faster search capabilities
  • Automated scaling
  • Low latency responses
  • Supports billions of vectors
  • Stores vector embeddings
  • Scales to billions objects
  • Lightning-fast vector similarity search
  • Supports keyword-based search
  • Supports vector search
Listed limitations
  • Performance varies
  • Data handling ambiguity
  • Lack of SSL encryption
  • Cost savings unclear
  • Limited pinned namespaces
  • Limited integrations
  • No commercial support
  • Open-source drawbacks
  • Requires ML model building
  • Learning curve

← turbopuffer Weaviate →