vs

DuckDB vs LanceDB

DuckDB: In-process columnar SQL database: the SQLite of analytics, running inside your app or notebook. LanceDB: Embedded, serverless retrieval database on the Lance columnar format for multimodal AI data.

key differences

  • DuckDB is primarily a columnar / OLAP database; LanceDB is vector.
  • LanceDB is built for larger datasets (≤ 1 PB) than DuckDB (≤ 10 TB).
  • Horizontal scaling is none in DuckDB and native in LanceDB.
  • Transactions: DuckDB offers full ACID; LanceDB offers limited.
  • Only DuckDB has transactions, joins, geospatial, json, in-memory.
  • Only LanceDB has time travel, online schema changes.
  • LanceDB has a serverless option; DuckDB does not.

choose duckdb for

  • +Local data analysis in notebooks
  • +ETL and data-engineering pipelines on files
  • +Embedded analytics inside applications
  • +Querying data lakes on S3 without a cluster

best at · OLAP, Embedded, Lakehouse

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
Columnar / OLAP
Vector
Also supports
Relational, Document, Spatial, Vector
Columnar / OLAP, Search Engine
Type
Database engine
Database engine
Status
Active
Active
Developer
DuckDB Foundation / DuckDB Labs
LanceDB, Inc.
First release
2019
2023
Latest version
2.0.0 (Oct 21, 2026)
0.40.0 (Oct 7, 2026)
License
Open source (permissive)MIT License
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
63.7
27.5
Rank
#13
#102
GitHub stars
42.6K
11.8K
Stack Overflow questions
501
1
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Large (≤ 1 PB)
Horizontal scaling
None
Native
Multi-region
None
None
ACID
Full
Limited
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Embedded, Single node, In memory
Embedded, Serverless, Shared storage
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
✓
Serverless
—
✓
Embedded
✓
✓
Edge
—
—
Clouds
–
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
SQL (PostgreSQL-like dialect)
LanceDB API (SQL filter expressions), SQL
Client languages
Python, R, Java, JavaScript, Go, Rust, C, Swift
Python, TypeScript, Rust, Java
Best for
OLAP, Embedded, Lakehouse, Warehouse
Vector search, RAG, Embedded, Lakehouse

DuckDB vs LanceDB: FAQ

What is the difference between DuckDB and LanceDB?

DuckDB: In-process columnar SQL database: the SQLite of analytics, running inside your app or notebook. LanceDB: Embedded, serverless retrieval database on the Lance columnar format for multimodal AI data. DuckDB is primarily a columnar / OLAP database; LanceDB is vector. LanceDB is built for larger datasets (≤ 1 PB) than DuckDB (≤ 10 TB). Horizontal scaling is none in DuckDB and native in LanceDB.

When should I choose DuckDB over LanceDB?

Choose DuckDB for local data analysis in notebooks; ETL and data-engineering pipelines on files; and embedded analytics inside applications. Choose LanceDB for embedded RAG in desktop, CLI and agent apps; multimodal datasets shared by training and retrieval; and agent memory stores.

Is DuckDB or LanceDB more popular?

DuckDB ranks #13 on the WhichDB Score (63.7/100) and LanceDB ranks #102 (27.5/100). Popularity is not fit: check the requirements that matter for your project.

Are DuckDB and LanceDB open source?

Yes. DuckDB is open source. License: MIT License. Yes. LanceDB is open source. License: Apache License 2.0.