The following connector article is provided by ClickHouse, Inc. the owner of this connector and a member of the Microsoft Power Query Connector Certification Program. If you have questions regarding the content of this article or have changes you would like to see made to this article, visit the ClickHouse website and use the support channels there.
Summary
Item
Description
Release State
General Availability
Products
Power BI (Semantic models) Power BI (Dataflows) Fabric (Dataflow Gen2)
Authentication Types Supported
ClickHouse (Username/Password)
Nota
Some capabilities may be present in one product but not others due to deployment schedules and host-specific capabilities.
Data Connectivity mode: Choose DirectQuery for querying ClickHouse directly. In case you have a small load, you can choose import mode, and the entire data is loaded to Power BI.
Specify your username and password.
Finally, you should see the databases and tables in the Navigator view. Select the desired table and select Load to
import the data from ClickHouse.
Once the import is complete, your ClickHouse Data should be accessible in Power BI as usual.
Connect to ClickHouse from Power Query Online
ClickHouse connector integration with Power BI cloud service requires you to initiate a data gateway.
What is a data gateway?
The on-premises data gateway acts as a bridge to provide quick and secure data transfer between on-premises data (data that isn't in the cloud) and several Microsoft cloud services. These cloud services include Power BI, PowerApps, Power Automate, Azure Analysis Services, and Azure Logic Apps. By using a gateway, organizations can keep databases and other data sources on their on-premises networks, yet securely use that on-premises data in cloud services.
Why is such a gateway required?
Both custom and certified connectors with extra components (for example, an ODBC driver) need the extra component to be installed on the end user machine and require the on-premises data gateway.
Demonstrate methods and best practices that align with business and technical requirements for modeling, visualizing, and analyzing data with Microsoft Power BI.