Pinecone vs Qdrant

Pinecone8.9Visit Qdrant8.5Visit

Higher score Pinecone #2 in Ai Databases 8.9/10 Free plan · 21-day trial Free planFree trial✓ 2 of 3 features Visit Pinecone

vs

Qdrant #5 in Ai Databases 8.5/10 Free plan Free plan✓ 2 of 3 features Visit Qdrant

• Pinecone fits best

  Teams building AI search and retrieval systems

• Qdrant fits best

  Teams needing cloud or self-hosted vector search

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Side by side

Feature	Pinecone 8.9/10 Visit ↗	Qdrant 8.5/10 Visit ↗
At a glance
Editor score	8.9	8.5
Ranking	#2 in Ai Databases	#5 in Ai Databases
Best for	Teams building AI search and retrieval systems	Teams needing cloud or self-hosted vector search
Pricing model	Free plan + paid	Free plan + paid
Starting price	—	—
Free plan	✓	✓
Free trial	21 days	—
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Web, Windows, macOS, Linux
Support	Community, Docs	Email, Tickets, Community, Docs
Compliance	SOC 2, GDPR, HIPAA, SSO/SAML	SOC 2, HIPAA, GDPR
Built for	Solo, Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Pinecone 2/3 · Qdrant 2/3
Metadata filtering	✓	✓
Hybrid search	✓	✓
Managed backups	Not checked yet	Not checked yet
Specs
Deployment	Not checked yet	Not checked yet
Index types	Ananas, PQFS, IVF with PQFS	HNSW; sparse vector index; payload index; filterable HNSW
Max vector dimensions	Not checked yet	65535
Our review
Pros	Combines dense, sparse, and full-text indexes with hybrid search Adds metadata filtering, reranking, and automatic index tuning Paid tiers add monitoring, backups, and enterprise security options	Supports dense, sparse, and hybrid vector search with metadata filtering Offers open-source self-hosting and managed cloud deployment Includes a free tier with cloud inference for selected models
Cons	Builder starts at $20/month; Standard and Enterprise have higher minimums Standard requires at least $50/month and Enterprise at least $500/month Cloud-only deployment may not suit teams seeking self-hosted software	The free tier is limited to a single-node cluster with 1 GB RAM Standard pricing is usage-based rather than a fixed published amount Higher availability and SSO are reserved for paid tiers
Our verdict	Pinecone is a managed vector database for engineering teams building AI applications, including retrieval-augmented generation, semantic search, recommendations, and agent knowledge systems. Available through web and API, it combines dense… Read the review →	Qdrant is an open-source vector search engine and database for semantic search, retrieval-augmented generation, recommendations, and other AI applications. It suits teams that need to store vector representations alongside metadata and… Read the review →

Strengths and trade-offs

• Pinecone — where it wins

  • Combines dense, sparse, and full-text indexes with hybrid search
  • Adds metadata filtering, reranking, and automatic index tuning
  • Paid tiers add monitoring, backups, and enterprise security options

  Where it doesn't

  • Builder starts at $20/month; Standard and Enterprise have higher minimums
  • Standard requires at least $50/month and Enterprise at least $500/month
  • Cloud-only deployment may not suit teams seeking self-hosted software

• Qdrant — where it wins

  • Supports dense, sparse, and hybrid vector search with metadata filtering
  • Offers open-source self-hosting and managed cloud deployment
  • Includes a free tier with cloud inference for selected models

  Where it doesn't

  • The free tier is limited to a single-node cluster with 1 GB RAM
  • Standard pricing is usage-based rather than a fixed published amount
  • Higher availability and SSO are reserved for paid tiers

• Pinecone8.9/10 · Free plan · 21-day trial

  A managed vector-search service with hybrid retrieval, filtering, and tiered plans.

  Visit PineconeFull verdict →
• Qdrant8.5/10 · Free plan

  A flexible vector database for teams building semantic search and AI retrieval.

  Visit QdrantFull verdict →