Pinecone vs Vespa

Side-by-side comparison of Pinecone and Vespa: 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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Vespa
Vespa

AI Search Platform for large-scale vector search, ranking, and real-time inference

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Category
Vector databases
Vector databases
Pricing
Freemium
Freemium
Starting price
Free tier
Audience
All audiences
Technical
API available
Open source
Self-hostable
Model provider
Founded
2019
2017
Headquarters
San Francisco, USA
Oslo, Norway
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
  • ·Hybrid vector + text + structured search in a single platform
  • ·Native tensor support for complex ML-driven ranking
  • ·Real-time inference at sub-100ms latency at billions-of-document scale
  • ·Streaming search mode for personal/private data (20x cheaper than indexing)