ClickHouse Connect
A high performance core database driver for connecting ClickHouse to Python, Pandas, and Superset
- Pandas DataFrames (numpy and arrow-backed)
- Numpy Arrays
- PyArrow Tables
- Polars DataFrames
- Superset Connector
- SQLAlchemy Core (select, joins, lightweight deletes; limited feature set)
ClickHouse Connect currently uses the ClickHouse HTTP interface for maximum compatibility.
Installation
pip install clickhouse-connect
ClickHouse Connect requires Python 3.9 or higher. We officially test against Python 3.9 through 3.13.
Superset Connectivity
ClickHouse Connect is fully integrated with Apache Superset. Previous versions of ClickHouse Connect utilized a
dynamically loaded Superset Engine Spec, but as of Superset v2.1.0 the engine spec was incorporated into the main
Apache Superset project and removed from clickhouse-connect in v0.6.0. If you have issues connecting to earlier
versions of Superset, please use clickhouse-connect v0.5.25.
When creating a Superset Data Source, either use the provided connection dialog, or a SqlAlchemy DSN in the form
clickhousedb://{username}:{password}@{host}:{port}.
SQLAlchemy Implementation
ClickHouse Connect includes a lightweight SQLAlchemy dialect implementation focused on compatibility with Superset
and SQLAlchemy Core.
Supported features include:
- Basic query execution via SQLAlchemy Core
SELECT queries with JOINs, ARRAY JOIN, and FINAL modifier
- Lightweight
DELETE statements
The implementation does not include ORM support and is not intended as a full SQLAlchemy dialect. While it can support
a range of Core-based applications beyond Superset, it may not be suitable for more complex SQLAlchemy applications
that rely on full ORM or advanced dialect functionality.
Asyncio Support
ClickHouse Connect provides an async wrapper, so that it is possible to use the client in an asyncio environment.
See the run_async example for more details.
Complete Documentation
The documentation for ClickHouse Connect has moved to
ClickHouse Docs