Devart Python Connector for Google

DB-API connector for Google BigQuery
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Publisher

Devart

Subcategories

Connectivity Drivers & ETL

Average rating

Deze score is berekend door AI op basis van publiek beschikbare informatie.
5 / 5

About this software

Python Connector for Google BigQuery is a DB-API 2.0-compatible Python package for connecting Python applications to Google BigQuery. Distributed as a wheel for Windows, it supports BigQuery SQL dialect, data types, and query syntax. The connector supports Python 3.7–3.13 and integrates with SQLAlchemy and pandas. Features include connection pooling, local caching, Unicode support, and configurable data type mapping. Installation and activation instructions, connection parameters, and usage examples are provided in the publisher documentation.

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Devart Python Connector for Google

Devart Python Connector for Google
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€496.91
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Benefits

  • DB-API 2.0 compliance: Implements Python DB API 2.0 for standard database access.
  • BigQuery SQL support: Supports BigQuery SQL dialects, functions, and data types.
  • Python ecosystem integration: Works with SQLAlchemy and pandas for downstream workflows.
  • Performance features: Offers connection pooling and local caching for faster access.
  • Windows wheel distribution: Distributed as wheel packages for Windows 32-bit and 64-bit.

Available languages

  • English

Support information

  • Documentation and guides: Product docs include installation, connection parameters, and usage examples on the publisher site.
  • Technical support portal: Submit support requests and track issues via the publisher's support center and contact form.
  • Community forum access: Join the Python Connectors Forum to ask questions and find community solutions.
  • License activation instructions: Follow activation and license key steps in the product documentation to activate purchased licenses.
  • Release notes and updates: A What's New page lists version changes and added features with release dates.

Frequently asked questions

What is Devart Python Connector for Google?
A Python library that provides a programmatic interface for connecting Python applications to Google services and accessing or manipulating data through standard Python code.
What are common use cases for this connector?
Integrating Google data into Python-based workflows for ETL, analytics, reporting, automation, and web applications that require read and write access to Google-hosted data.
How is the connector integrated into Python projects?
Added as a Python library dependency and used by importing its API to establish connections, run queries or operations, and process returned data within scripts or applications.
Where can the connector be deployed?
Within local development environments, on-premises servers, or cloud-hosted Python runtimes; suitable for interactive scripts, web services, and scheduled batch jobs.