About this software
Python Connector for BigCommerce provides a DB-API 2.0 compatible interface to access and modify BigCommerce store data from Python applications. It converts SQL queries into BigCommerce API calls, supports ANSI SQL features, and includes connection pooling and local caching to improve performance. The connector installs from PyPI or a wheel and supports OAuth 2.0 and basic authentication. Supported environments include Windows, macOS (including Apple silicon), and Linux, and it integrates with pandas and SQLAlchemy.
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Devart Python Connector for BigCommerce
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€496.91
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Benefits
- SQL access to BigCommerce: Execute ANSI SQL queries that map to BigCommerce API operations.
- DB-API 2.0 compatible: Implements Python DB-API 2.0 for standard Python database usage patterns.
- Connection pooling and caching: Supports connection pooling and local caching to improve throughput.
- Cross-platform support: Available for Windows, macOS (including ARM), and Linux.
- Easy installation options: Install from PyPI or deploy wheel packages for each platform.
Available languages
- English
Support information
- Documentation and guides: Product documentation includes installation, usage examples, and API reference.
- Installation instructions: Step-by-step install guides for Windows, macOS, and Linux are provided.
- License activation: Supports license-key activation and subscription license types as documented in release notes.
- Community forum: A Python Connectors Forum is available for discussion and feedback.
- Request support: Link to request support is provided on the product documentation pages.
Frequently asked questions
Can the connector access products, orders, and customer data?
Yes. The connector exposes programmatic access to standard BigCommerce resources so applications can retrieve and manage entities such as products, orders, and customers via API endpoints.
How is authentication handled when using the connector?
Authentication is performed using the same credentials or tokens required by the BigCommerce API; those credentials must be configured in the connector before making API requests.
How does the connector handle pagination and large result sets?
The connector provides mechanisms to request and iterate through paginated API responses so applications can retrieve large result sets in multiple requests according to BigCommerce pagination patterns.