Pinecone vs Milvus

Pinecone8.9Visit Milvus8.6Visit

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

Milvus #4 in Ai Databases 8.6/10 Free plan Free plan✓ 2 of 3 features Visit Milvus

• Pinecone fits best

  Teams building AI search and retrieval systems

• Milvus fits best

  Developers wanting open-source vector search

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Side by side

Feature	Pinecone 8.9/10 Visit ↗	Milvus 8.6/10 Visit ↗
At a glance
Editor score	8.9	8.6
Ranking	#2 in Ai Databases	#4 in Ai Databases
Best for	Teams building AI search and retrieval systems	Developers wanting open-source vector search
Pricing model	Free plan + paid	Free
Starting price	—	Free plan
Free plan	✓	✓
Free trial	21 days	—
Deployment	Cloud	Cloud, Self-hosted
Support	Community, Docs	Community, Docs
Built for	Solo, Small business, Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features Pinecone 2/3 · Milvus 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, IVF, FLAT, DiskANN, SCANN
Max vector dimensions	Not checked yet	Not checked yet
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 hybrid dense-sparse search, BM25, and metadata filtering Offers HNSW, IVF, FLAT, DiskANN, and SCANN index types Runs locally, as a standalone server, or on distributed Kubernetes
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	Self-hosted deployment requires operating the database infrastructure Support channels listed are community and documentation Managed cloud is a separate Zilliz Cloud service
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 →	Milvus is an open-source vector database for developers and organizations building semantic search, retrieval-augmented generation, recommendations, image search, and other AI applications. It stores, indexes, and searches dense, sparse,… 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

• Milvus — where it wins

  • Supports hybrid dense-sparse search, BM25, and metadata filtering
  • Offers HNSW, IVF, FLAT, DiskANN, and SCANN index types
  • Runs locally, as a standalone server, or on distributed Kubernetes

  Where it doesn't

  • Self-hosted deployment requires operating the database infrastructure
  • Support channels listed are community and documentation
  • Managed cloud is a separate Zilliz Cloud service

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

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

  Visit PineconeFull verdict →
• Milvus8.6/10 · Free plan

  A flexible vector search foundation for teams that want open-source or self-hosted deployment.

  Visit MilvusFull verdict →