CData Python Connector for Teradata

Overview

The CData Python Connector for Teradata allows developers to write Python scripts with connectivity to Teradata. The connector wraps the complexity of accessing Teradata data in an interface commonly used by Python connectors to common database systems.

Key Features

WHL installation packages that enable installation with "pip install".
Supported for Python 3.10 or newer on Windows, Linux, and macOS.
Write and execute SQL queries to fetch and update data in Teradata.
Custom dialect class that enables SQLAlchemy 1.3 and 1.4 to use this connector.

Getting Started

See Getting Started to install the connector to your Python distribution and to create a basic connection to Teradata.

Using the Python Connector/Using from Tools

See Using the Connector for examples of executing basic SELECT, INSERT, UPDATE, DELETE, and EXECUTE queries with the module's provided classes.

See Using from Tools to connect Teradata data to tools such as Pandas or Petl.

SQLAlchemy ORM

SQLAlchemy can be leveraged to model the tables in Teradata with mapped classes. See From SQLAlchemy for instructions for configuring the Python connector with SQLAlchemy.

Pandas

Pandas' DataFrames can be used alongside the connector to generate analytical graphics. See From Pandas for a guide.

Schema Discovery

See Schema Discovery to query the provided system tables, which allows users to discover the available tables, views, and stored procedure, alongside additional information about their columns or parameters.

Advanced Features

Advanced Features details additional features supported by the connector, such as , remoting, firewall/proxy settings, and advanced logging.

Connection String Options

The Connection properties describe the various options that can be used to establish a connection.