Connecting to Databricks

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 Databricks can be installed and used in various Python 3.8, 3.9, 3.10, and 3.11 distributions.

Databricks Version Support

The connector leverages Databricks Thrift to enable bidirectional SQL access to Databricks data. It supports Databricks databases running Databricks Runtime Version 9.1 - 13.X and the Pro and Classic Databricks SQL versions.

See Also

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