Pinecone vs Weaviate

Side-by-side comparison of Pinecone and Weaviate: pricing, features, API access, and community ratings.

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Pinecone
Pinecone

The fully managed vector database built for knowledgeable AI — fast retrieval, accurate results, lower costs.

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Weaviate
Weaviate

The open-source AI-native vector database built for production-scale search, RAG, and agents

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Category
Vector databases
Vector databases
Pricing
Freemium
Freemium
Starting price
Free tier
Audience
All audiences
All audiences
API available
Open source
Self-hostable
Model provider
Founded
2019
2019
Headquarters
San Francisco, USA
Amsterdam, Netherlands
Key strengths
  • ·Writes are instantly searchable with <100ms acknowledgment
  • ·Automatic indexing with no manual tuning required
  • ·Consistent low-latency queries at billion-vector scale (31ms p50 at 1B vectors)
  • ·Up to 95% reduction in token consumption per AI agent via semantic caching
  • ·Billion-scale vector search with multi-tenancy support
  • ·Built-in embeddings — no external pipeline required
  • ·Deployment-agnostic: cloud, self-hosted, or on-prem
  • ·Unified platform for search, RAG, agents, and memory (Engram)