Python Connector for Google BigQuery

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Python Connector for Google BigQuery is a reliable connectivity solution for accessing the Google BigQuery data warehouse from Python applications to perform create, read, update, and delete operations on stored data. The solution fully implements the Python DB API 2.0 specification and is distributed as a wheel package for Windows 32-bit and 64-bit.

GoogleSQL for BigQuery

The connector fully supports the BigQuery SQL dialects, data types, and query syntax, including functions, operators, and conditional expressions. These are examples of supported BigQuery functions:

  • Aggregate functions
  • Array functions
  • Datetime functions
  • Geography functions
  • JSON functions
  • Navigation functions
  • Net functions
  • Hash functions
BigQuery Standard SQL


Easy deployment and high performance

High Performance

The connector supports connection pooling and local caching of data to increase the access speed. It also lets you submit multiple update statements to the data warehouse for processing as a batch to improve execution time.

Platform support

Platform Support

The Python connector is available for Windows and Windows Server (32-bit and 64-bit).

Unicode-compliant connector

Unicode-Compliant Connector

The Unicode-compliant connector lets you retrieve and update multilingual data, regardless of its character encoding (Chinese, Cyrillic, Hebrew, and more) in any language environment.

Data types support

Data Types Support

The connector supports all BigQuery data types and Python data types. It offers additional options to control data type mapping between the BigQuery data types and Python data types.

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