Connecting to Salesforce Data Cloud

For information on the available WHL and TAR.GZ files for supported environments, and how to install the appropriate file for your Python distribution, see Package Installation.

For information on the module to import, and how to configure the necessary connection properties in a connection string, see Establishing a Connection.

Other available connection properties can be used to configure other aspects of the connector capabilities.

Python Version Support

The CData Python Connector for Salesforce Data Cloud can be installed and used in Python versions 3.9, 3.10, 3.11, 3.12 and 3.13.

Salesforce Data Cloud Version Support

The connector leverages the Salesforce Data Cloud API to enable access to Salesforce Data Cloud resources.

See Also

• Using the Connector: Establish connections and query Salesforce Data Cloud through Python code.
• From SQLAlchemy: Use SQLAlchemy to establish a connection with dialect URL, and interact with Salesforce Data Cloud data using mapped classes and Sessions.