Tools
Chroma vs Pinecone
Chroma or Pinecone? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In inglese
In short
- Both: Choice of models, Self-hosted, API, Builds agents and workflows, Search over your data
- Only Chroma states: Knows the whole codebase, Command line, Official SDKs
- Only Pinecone states: Runs models for you
Chroma
Open-source infrastructure for storing, indexing, and searching data for AI applications.
Plans
Starter
Free
- 10 databases
- 10 team members
- Community Slack
Team
- $250 /month
- 100 databases
- 30 team members
- Slack support
- SOC II
- Volume-based discounts
Enterprise
Price on request
- Unlimited databases
- Unlimited team members
- Dedicated support
- Single tenant clusters
- BYOC clusters
- SLAs
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Knows the whole codebase — “Index codebases to power coding agents using AST-aware chunking.” source
- Command line — “Command-line tools for development” source
- Choice of models — “Use any embedding model. OpenAI, Cohere, Hugging Face, sentence-transformers, and more.” source
- Self-hosted — “Run it locally, self-host, or use Chroma Cloud for a managed, serverless experience.” source
- API — “Schema() and Search() APIs” source
- Official SDKs — “Create a self-hosted or cloud database and add data to it using the Chroma SDK.” source
- Builds agents and workflows — “Build agents that iteratively search and refine results for complex queries.” source
- Search over your data — “store embeddings with metadata, search with dense and sparse vectors, filter by metadata, and retrieve across text, images, and more.” source
Security
- SOC 2 Type II — “Our security program has been independently assessed through a SOC 2 Type II examination, validating the design of our security controls.” source
- SOC 2 — “Our security program has been independently assessed through a SOC 2 Type II examination, validating the design of our security controls.” source
Pinecone
Pinecone is a managed vector database for semantic search, recommendations, RAG, and AI agent retrieval.
Plans
Starter
Free
- Pinecone Database On-Demand
- Pinecone Inference
- Pinecone Assistant
- Dense, Sparse, and Full-Text Indexes
- Console Metrics
- Community Support via Discord
Builder
- $20/month flat
- Everything in Starter
- Increased usage limits
- Choose your cloud and region
- Multiple projects and users
- Prometheus and Datadog monitoring
- Includes Free support
Standard
- $50/month min. usage
- Everything in Builder
- Pay-as-you-go for Database On-Demand, Inference, and Assistant Usage
- Choose your cloud and region
- Dedicated Read Nodes (DRN)
- Import from object storage
- Backup and Restore
Enterprise
- $500/month min. usage
- Everything in Standard
- 99.95% Uptime SLA
- Bring Your Own Cloud (BYOC)
- Private Endpoints
- Customer Managed Encryption Keys
- Audit Logs
Bring your own cloud
Price on request
- Pinecone in your cloud account
- Zero-access operations – no SSH, VPN, or inbound access required
- Outbound-only operations with an auditable trail
- Pro support included
Prices checked 2026-09-24 on the maker’s page.
Capabilities
- Choice of models — “All available models” source
- Self-hosted — “Bring-your-own-cloud (BYOC) runs Pinecone in your cloud account and VPC.” source
- API — “Install the plugin in your agent, or call the API directly.” source
- Runs models for you — “Pinecone Inference” source
- Builds agents and workflows — “Build production-grade agent-based apps” source
- Search over your data — “Search, upsert, and rerank from the same index.” source
Security
- SOC 2 Type II — “Pinecone is SOC2 Type II certified, HIPAA compliant (with BAA available upon request), and GDPR-ready.” source
- SOC 2 — “Pinecone is SOC2 Type II certified, HIPAA compliant (with BAA available upon request), and GDPR-ready.” source
- HIPAA — “Pinecone is SOC2 Type II certified, HIPAA compliant (with BAA available upon request), and GDPR-ready.” source
- Not trained on your data — “Your data remains isolated and protected, and is only used for servicing API calls.” source
Latest updates
- Pod-to-serverless migration supports up to 500 million records
Migrating a pod-based index to serverless now supports indexes with up to 500 million records, up from 50 million.
- Gemini 3.5 Flash now available for Assistant chat
Pinecone Assistant now supports Google’s Gemini 3.5 Flash model.
- Gemini 2.5 Pro and o4-mini deprecations for Assistant
Pinecone Assistant automatically routes gemini-2.5-pro to Gemini 3.5 Flash and o4-mini to GPT-5, at the same price.