vs

DuckDB vs SQLite

DuckDB: In-process columnar SQL database: the SQLite of analytics, running inside your app or notebook. SQLite: The in-process SQL engine that ships in every phone, browser and OS: one file, zero servers.

key differences

  • DuckDB is primarily a columnar / OLAP database; SQLite is relational.
  • DuckDB is built for larger datasets (≤ 10 TB) than SQLite (≤ 100 GB).
  • Only DuckDB has vector search, geospatial, columnar storage, compression, encryption at rest.
  • Only SQLite has triggers.

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 sqlite for

  • +Mobile and desktop application storage
  • +Embedded devices and IoT
  • +Local-first apps and offline caches
  • +Test fixtures and data interchange files

best at · Embedded, Mobile/offline, Edge

overview
Primary model
Columnar / OLAP
Relational
Also supports
Relational, Document, Spatial, Vector
Document
Type
Database engine
Embedded library
Status
Active
Active
Developer
DuckDB Foundation / DuckDB Labs
D. Richard Hipp / Hwaci (SQLite Consortium)
First release
2019
2000
Latest version
2.0.0 (Oct 21, 2026)
3.54.1 (Oct 16, 2026)
License
Open source (permissive)MIT License
Open source (permissive)Public Domain
Free tier
✓
✓
popularity
WhichDB Score
63.7
75.5
Rank
#13
#5
GitHub stars
42.6K
10.8K
Stack Overflow questions
501
94.9K
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Small (≤ 100 GB)
Horizontal scaling
None
None
Multi-region
None
None
ACID
Full
Full
Consistency
Strong
Strong
Schema
Strict
Flexible
Architecture
Embedded, Single node, In memory
Embedded, Single node
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
—
Serverless
—
—
Embedded
✓
✓
Edge
—
✓
Clouds
–
–
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)
SQL
Client languages
Python, R, Java, JavaScript, Go, Rust, C, Swift
C, Python, Java, JavaScript, Go, Rust, C#, Swift
Best for
OLAP, Embedded, Lakehouse, Warehouse
Embedded, Mobile/offline, Edge, Local-first

DuckDB vs SQLite: FAQ

What is the difference between DuckDB and SQLite?

DuckDB: In-process columnar SQL database: the SQLite of analytics, running inside your app or notebook. SQLite: The in-process SQL engine that ships in every phone, browser and OS: one file, zero servers. DuckDB is primarily a columnar / OLAP database; SQLite is relational. DuckDB is built for larger datasets (≤ 10 TB) than SQLite (≤ 100 GB). Only DuckDB has vector search, geospatial, columnar storage, compression, encryption at rest.

When should I choose DuckDB over SQLite?

Choose DuckDB for local data analysis in notebooks; ETL and data-engineering pipelines on files; and embedded analytics inside applications. Choose SQLite for mobile and desktop application storage; embedded devices and IoT; and local-first apps and offline caches.

Is DuckDB or SQLite more popular?

SQLite ranks #5 on the WhichDB Score (75.5/100) and DuckDB ranks #13 (63.7/100). Popularity is not fit: check the requirements that matter for your project.

Are DuckDB and SQLite open source?

Yes. DuckDB is open source. License: MIT License. Yes. SQLite is open source. License: Public Domain.