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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
• 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