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Chroma vs Pinecone

Chroma: Open-source retrieval database for AI apps, from embedded Python to serverless Chroma Cloud. Pinecone: Fully managed serverless vector database with built-in embedding, reranking and assistants.

key differences

  • Licensing: Chroma is open source (permissive) (Apache License 2.0); Pinecone is proprietary (Proprietary SaaS).
  • Pinecone is built for larger datasets (≤ 1 PB) than Chroma (≤ 10 TB).
  • Transactions: Chroma offers limited ACID; Pinecone offers none.
  • Only Chroma has full-text search, branching.
  • Only Pinecone has encryption at rest, role-based access.
  • Chroma can run embedded in your application process.

choose chroma for

  • +Prototyping RAG in notebooks
  • +Embedded retrieval in Python apps
  • +Agent memory
  • +Serverless RAG backends

best at · Vector search, RAG, Search

choose pinecone for

  • +RAG over company documents
  • +Semantic search in SaaS products
  • +Recommendation and similarity lookups
  • +Multi-tenant AI apps with per-customer namespaces

best at · Vector search, RAG

ChromaOpen-source retrieval database for AI apps, from embedded Python to serverless Chroma Cloud.
PineconeFully managed serverless vector database with built-in embedding, reranking and assistants.
overview
Primary model
Vector
Vector
Also supports
Document, Search Engine
–
Type
Database engine
Managed service
Status
Active
Active
Developer
Chroma
Pinecone Systems, Inc.
First release
2023
2021
Latest version
1.5.9 (May 5, 2026)
–
License
Open source (permissive)Apache License 2.0
ProprietaryProprietary SaaS
Free tier
✓
✓
popularity
WhichDB Score
49.0
15.5
Rank
#29
#213
GitHub stars
29.6K
–
Stack Overflow questions
266
116
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Limited
None
Consistency
Eventual
Eventual
Schema
Schemaless
Schemaless
Architecture
Embedded, Single node, Serverless, Client server
Serverless, Distributed, Shared storage
deployment
Self-hosted
✓
—
Vendor-managed cloud
✓
✓
Serverless
✓
✓
Embedded
✓
—
Edge
—
—
Clouds
AWS
AWS, Google Cloud, Azure
capabilities
Transactions
—
—
Joins
—
—
Secondary indexes
✓
✓
Full-text search
✓
—
Vector search
✓
✓
Geospatial
—
—
JSON
✓
✓
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
—
—
Encryption at rest
—
✓
Role-based access
—
✓
Time travel
—
—
Branching
✓
—
Online schema changes
—
—
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
Chroma API (where filters)
Pinecone API (metadata filter expressions)
Client languages
Python, JavaScript, Rust
Python, JavaScript, Java, Go, .NET, Rust
Best for
Vector search, RAG, Search, Embedded
Vector search, RAG
Add more to this comparisonNot sure either fits? Try smart match

Chroma vs Pinecone: FAQ

What is the difference between Chroma and Pinecone?

Chroma: Open-source retrieval database for AI apps, from embedded Python to serverless Chroma Cloud. Pinecone: Fully managed serverless vector database with built-in embedding, reranking and assistants. Licensing: Chroma is open source (permissive) (Apache License 2.0); Pinecone is proprietary (Proprietary SaaS). Pinecone is built for larger datasets (≤ 1 PB) than Chroma (≤ 10 TB). Transactions: Chroma offers limited ACID; Pinecone offers none.

When should I choose Chroma over Pinecone?

Choose Chroma for prototyping RAG in notebooks, embedded retrieval in Python apps and agent memory. Choose Pinecone for RAG over company documents; semantic search in SaaS products; and recommendation and similarity lookups.

Is Chroma or Pinecone more popular?

Chroma ranks #29 on the WhichDB Score (49.0/100) and Pinecone ranks #213 (15.5/100). Popularity is not fit: check the requirements that matter for your project.

Are Chroma and Pinecone open source?

Yes. Chroma is open source. License: Apache License 2.0. No. Pinecone is proprietary, closed-source software.