Python Connector for Google BigQuery 2026: Benefits, Features & Pricing

The Python Connector for Google BigQuery is designed to establish a connection between Python applications and the Google BigQuery data warehouse. With this connector, users gain the ability to perform a range of operations, including creating, reading, updating, and deleting data stored in BigQuery. Compliant with the Python DB API specification, the connector is distributed as a wheel package, ensuring compatibility with Windows 32-bit and 64-bit systems.

The connector provides complete support for BigQuery's SQL dialects, data types, and query syntax, encompassing functions, operators, and conditionals. Users can leverage various BigQuery functions, such as aggregate functions, array functions, datetime functions, geography functions, JSON functions, navigation functions, net functions, and hash functions. Alongside its functionality, the connector offers high performance and is Unicode-compliant, ensuring retrieval and updating of multilingual data. Furthermore, it provides platform support for Windows 32-bit and 64-bit systems and accommodates various data types, enabling data type mapping between Python and BigQuery.