Pinecone vs LanceDB

Pinecone9.0Visit LanceDB8.7Visit

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

LanceDB #7 in Vector Database Hosting 8.7/10 Open source ✓ 2 of 3 features Visit LanceDB

• Pinecone fits best

  Managed production vector search

• LanceDB fits best

  Open-source multimodal data teams

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature	Pinecone 9.0/10 Visit ↗	LanceDB 8.7/10 Visit ↗
At a glance
Editor score	9.0	8.7
Ranking	#4 in Vector Database Hosting	#7 in Vector Database Hosting
Best for	Managed production vector search	Open-source multimodal data teams
Pricing model	Free plan + paid	Free
Starting price	—	Open source
Free plan	✓ (best)	Not checked yet
Free trial	21 days	—
Deployment	Cloud	Cloud, Self-hosted
Support	Community, Docs	Community, Docs
Compliance	SOC 2, GDPR, HIPAA, SSO/SAML	SOC 2, GDPR, HIPAA
Built for	Solo, Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Pinecone 2/3 · LanceDB 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	Not checked yet
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 vector, full-text, and hybrid search with reranking Stores vectors, metadata, and multimodal data in shared tables Supports versioning, reproducibility, schema evolution, and filtering
Cons	Pinecone is not open source Dedicated Read Nodes begin on Standard at $50/month minimum usage Enterprise starts at $500/month minimum usage	Sparse-vector support is not part of the listed capability set Paid plan amounts are not published in the available pricing details Production deployment options add complexity beyond local use
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 →	LanceDB is an open-source embedded retrieval library and multimodal lakehouse for AI and machine-learning workloads. It is designed for teams that need to store vectors, metadata, and multimodal data together while supporting vector… 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

• LanceDB — where it wins

  • Combines vector, full-text, and hybrid search with reranking
  • Stores vectors, metadata, and multimodal data in shared tables
  • Supports versioning, reproducibility, schema evolution, and filtering

  Where it doesn't

  • Sparse-vector support is not part of the listed capability set
  • Paid plan amounts are not published in the available pricing details
  • Production deployment options add complexity beyond local use

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

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

  Visit PineconeFull verdict →
• LanceDB8.7/10 · Open source

  A strong fit for open-source AI teams building multimodal retrieval with versioned tables.

  Visit LanceDBFull verdict →