Chroma vs Pinecone

Chroma9.4Visit Pinecone9.0Visit

Higher score Chroma #1 in Vector Database Hosting 9.4/10 Free plan Free plan✓ 2 of 3 features Visit Chroma

vs

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

• Chroma fits best

  Open-source hybrid retrieval teams

• Pinecone fits best

  Managed production vector search

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Side by side

Feature	Chroma 9.4/10 Visit ↗	Pinecone 9.0/10 Visit ↗
At a glance
Editor score	9.4	9.0
Ranking	#1 in Vector Database Hosting	#4 in Vector Database Hosting
Best for	Open-source hybrid retrieval teams	Managed production vector search
Pricing model	Free plan + paid	Free plan + paid
Starting price	$250/mo	—
Free plan	✓	✓
Free trial	—	21 days
Deployment	Cloud, Self-hosted	Cloud
Platforms	Web, Windows, macOS, Linux, iOS, Android	Web
Support	Email, Community, Docs	Community, Docs
Compliance	SOC 2	SOC 2, GDPR, HIPAA, SSO/SAML
Built for	Solo, Small business, Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features Chroma 2/3 · Pinecone 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	4096 dimensions	Not checked yet
Our review
Pros	Combines dense, sparse, hybrid, full-text, regex, and metadata search Supports self-hosting, Chroma Cloud, and local persistent storage Integrates with OpenAI, Cohere, Hugging Face, and other AI tools	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
Cons	Chroma Cloud combines plan fees with usage-based charges Enterprise pricing is custom rather than publicly listed Broader search features may exceed the needs of simple vector workloads	Pinecone is not open source Dedicated Read Nodes begin on Standard at $50/month minimum usage Enterprise starts at $500/month minimum usage
Our verdict	Chroma is an open-source database and search infrastructure for AI applications. It stores documents, embeddings, and metadata, with support for dense similarity search, sparse search using BM25 or SPLADE, hybrid ranking, full-text search,… Read the review →	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 →

Strengths and trade-offs

• Chroma — where it wins

  • Combines dense, sparse, hybrid, full-text, regex, and metadata search
  • Supports self-hosting, Chroma Cloud, and local persistent storage
  • Integrates with OpenAI, Cohere, Hugging Face, and other AI tools

  Where it doesn't

  • Chroma Cloud combines plan fees with usage-based charges
  • Enterprise pricing is custom rather than publicly listed
  • Broader search features may exceed the needs of simple vector workloads

• 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

• Chroma9.4/10 · Free plan

  A flexible vector database for hybrid retrieval, multimodal search, and self-hosted AI applications.

  Visit ChromaFull verdict →
• Pinecone9.0/10 · Free plan · 21-day trial

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

  Visit PineconeFull verdict →