vs

chDB vs DuckDB

chDB: Embedded, in-process OLAP engine powered by ClickHouse, used mainly from Python. DuckDB: In-process columnar SQL database: the SQLite of analytics, running inside your app or notebook.

key differences

  • Transactions: chDB offers none ACID; DuckDB offers full.
  • Only DuckDB has transactions, secondary indexes, full-text search, vector search, encryption at rest.

choose chdb for

  • +Notebook analytics with ClickHouse SQL
  • +Local ETL on Parquet and CSV
  • +Testing ClickHouse queries without a server
  • +Embedding analytics in Python services

best at · OLAP, Embedded

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

overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational, Document
Relational, Document, Spatial, Vector
Type
Database engine
Database engine
Status
Active
Active
Developer
ClickHouse, Inc.
DuckDB Foundation / DuckDB Labs
First release
2023
2019
Latest version
4.4.0 (Sep 11, 2026)
2.0.0 (Oct 21, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)MIT License
Free tier
✓
✓
popularity
WhichDB Score
21.1
63.7
Rank
#143
#13
GitHub stars
2.9K
42.6K
Stack Overflow questions
–
501
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Medium (≤ 10 TB)
Horizontal scaling
None
None
Multi-region
None
None
ACID
None
Full
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Embedded, In memory, Single node
Embedded, Single node, In memory
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 (ClickHouse dialect), Python DataFrame API
SQL (PostgreSQL-like dialect)
Client languages
Python, Go, Rust, JavaScript, C, Bun
Python, R, Java, JavaScript, Go, Rust, C, Swift
Best for
OLAP, Embedded
OLAP, Embedded, Lakehouse, Warehouse

chDB vs DuckDB: FAQ

What is the difference between chDB and DuckDB?

chDB: Embedded, in-process OLAP engine powered by ClickHouse, used mainly from Python. DuckDB: In-process columnar SQL database: the SQLite of analytics, running inside your app or notebook. Transactions: chDB offers none ACID; DuckDB offers full. Only DuckDB has transactions, secondary indexes, full-text search, vector search, encryption at rest.

When should I choose chDB over DuckDB?

Choose chDB for notebook analytics with ClickHouse SQL; local ETL on Parquet and CSV; and testing ClickHouse queries without a server. Choose DuckDB for local data analysis in notebooks; ETL and data-engineering pipelines on files; and embedded analytics inside applications.

Is chDB or DuckDB more popular?

DuckDB ranks #13 on the WhichDB Score (63.7/100) and chDB ranks #143 (21.1/100). Popularity is not fit: check the requirements that matter for your project.

Are chDB and DuckDB open source?

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