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Chroma vs LanceDB

Chroma: Open-source retrieval database for AI apps, from embedded Python to serverless Chroma Cloud. LanceDB: Embedded, serverless retrieval database on the Lance columnar format for multimodal AI data.

key differences

  • LanceDB is built for larger datasets (≤ 1 PB) than Chroma (≤ 10 TB).
  • Only Chroma has json, branching.
  • Only LanceDB has columnar storage, compression, time travel, online schema changes.

choose chroma for

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

best at · Vector search, RAG, Search

choose lancedb for

  • +Embedded RAG in desktop, CLI and agent apps
  • +Multimodal datasets shared by training and retrieval
  • +Agent memory stores
  • +Serverless vector search over S3

best at · Vector search, RAG, Embedded

overview
Primary model
Vector
Vector
Also supports
Document, Search Engine
Columnar / OLAP, Search Engine
Type
Database engine
Database engine
Status
Active
Active
Developer
Chroma
LanceDB, Inc.
First release
2023
2023
Latest version
1.5.9 (May 5, 2026)
0.40.0 (Oct 7, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
49.0
27.5
Rank
#29
#102
GitHub stars
29.6K
11.8K
Stack Overflow questions
266
1
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Limited
Limited
Consistency
Eventual
Strong
Schema
Schemaless
Strict
Architecture
Embedded, Single node, Serverless, Client server
Embedded, Serverless, 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)
LanceDB API (SQL filter expressions), SQL
Client languages
Python, JavaScript, Rust
Python, TypeScript, Rust, Java
Best for
Vector search, RAG, Search, Embedded
Vector search, RAG, Embedded, Lakehouse

Chroma vs LanceDB: FAQ

What is the difference between Chroma and LanceDB?

Chroma: Open-source retrieval database for AI apps, from embedded Python to serverless Chroma Cloud. LanceDB: Embedded, serverless retrieval database on the Lance columnar format for multimodal AI data. LanceDB is built for larger datasets (≤ 1 PB) than Chroma (≤ 10 TB). Only Chroma has json, branching. Only LanceDB has columnar storage, compression, time travel, online schema changes.

When should I choose Chroma over LanceDB?

Choose Chroma for prototyping RAG in notebooks, embedded retrieval in Python apps and agent memory. Choose LanceDB for embedded RAG in desktop, CLI and agent apps; multimodal datasets shared by training and retrieval; and agent memory stores.

Is Chroma or LanceDB more popular?

Chroma ranks #29 on the WhichDB Score (49.0/100) and LanceDB ranks #102 (27.5/100). Popularity is not fit: check the requirements that matter for your project.

Are Chroma and LanceDB open source?

Yes. Chroma is open source. License: Apache License 2.0. Yes. LanceDB is open source. License: Apache License 2.0.