Pinecone vs turbopuffer

Pinecone9.0Visit turbopuffer8.6Visit

Higher score Pinecone #4 in Vector Database Hosting 9.0/10 Free plan · 21-day trial Free planFree trial✓ 2 of 3 features Visit Pinecone

vs

turbopuffer #8 in Vector Database Hosting 8.6/10 Paid ✓ 2 of 3 features Visit turbopuffer

• Pinecone fits best

  Managed production vector search

• turbopuffer fits best

  High-scale managed vector workloads

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Side by side

Feature	Pinecone 9.0/10 Visit ↗	turbopuffer 8.6/10 Visit ↗
At a glance
Editor score	9.0	8.6
Ranking	#4 in Vector Database Hosting	#8 in Vector Database Hosting
Best for	Managed production vector search	High-scale managed vector workloads
Pricing model	Free plan + paid	Paid
Starting price	—	$16/mo
Free plan	✓ (best)	—
Free trial	21 days	—
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Web
Support	Community, Docs	Email, Community, Docs · 24/7
Compliance	SOC 2, GDPR, HIPAA, SSO/SAML	SOC 2, GDPR, HIPAA, SSO/SAML
Built for	Solo, Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Pinecone 2/3 · turbopuffer 2/3
Hybrid search	✓	✓
Metadata filtering	✓	✓
Serverless scaling	Not checked yet	Not checked yet
Specs
Included storage	Not checked yet	Not checked yet
Deployment regions	Not checked yet	Not checked yet
Maximum dimensions	Not checked yet	10752 dimensions
Our review
Pros	Dense, sparse, full-text, and hybrid search in one service Integrated embeddings and metadata filtering support retrieval workflows SDKs for Python, Node.js, Java, Go, .NET, and Rust	Combines dense, sparse, BM25, and hybrid search Supports exact filtered kNN and metadata filtering Offers branching, sharding, embedding, and BYOC deployment
Cons	Pinecone is not open source Dedicated Read Nodes begin on Standard at $50/month minimum usage Enterprise starts at $500/month minimum usage	There is no free plan Launch uses a $16 monthly minimum usage commitment Enterprise pricing starts at >=$4,096/month plus a 35% usage premium
Our verdict	Pinecone is a fully managed vector database for engineering teams building AI applications. It stores dense and sparse vectors, supports metadata filtering, and provides semantic, lexical, full-text, and hybrid search. Its typical… Read the review →	turbopuffer is a hosted search database for AI applications, semantic search, recommendations, and other retrieval workloads. It combines dense and sparse vector search with full-text BM25 search, metadata filtering, branching, and… Read the review →

Strengths and trade-offs

• Pinecone — where it wins

  • Dense, sparse, full-text, and hybrid search in one service
  • Integrated embeddings and metadata filtering support retrieval workflows
  • SDKs for Python, Node.js, Java, Go, .NET, and Rust

  Where it doesn't

  • Pinecone is not open source
  • Dedicated Read Nodes begin on Standard at $50/month minimum usage
  • Enterprise starts at $500/month minimum usage

• turbopuffer — where it wins

  • Combines dense, sparse, BM25, and hybrid search
  • Supports exact filtered kNN and metadata filtering
  • Offers branching, sharding, embedding, and BYOC deployment

  Where it doesn't

  • There is no free plan
  • Launch uses a $16 monthly minimum usage commitment
  • Enterprise pricing starts at >=$4,096/month plus a 35% usage premium

• Pinecone9.0/10 · Free plan · 21-day trial

  A managed vector database with hybrid search, integrated embeddings, and production tiers.

  Visit PineconeFull verdict →
• turbopuffer8.6/10 · Paid

  A broad managed search database for high-scale AI retrieval workloads.

  Visit turbopufferFull verdict →