Pinecone vs turbopuffer

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

AI comparison summary

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	Pinecone The fully managed vector database built for knowledgeable AI — fast retrieval, accurate results, lower costs. Visit	turbopuffer Fast vector and full-text search engine built on object storage — 10x cheaper and infinitely scalable Visit
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	2023
Headquarters	San Francisco, USA	San Francisco, USA
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	·10x cheaper than traditional vector databases due to object storage architecture ·Sub-10ms p50 latency with Memory/SSD caching layer ·Massive scale: 4T+ documents, 10M+ writes/s, 25k+ queries/s in production ·Hybrid search combining vector (ANN) and full-text (BM25) in one system