Python Connector for BigCommerce is a reliable connectivity solution for accessing BigCommerce 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, macOS, and Linux.
The connector fully supports the ANSI SQL standard and lets you execute SQL statements against your BigCommerce data just like you would normally work with relational databases. Simple queries are directly converted to BigCommerce API calls and executed on the BigCommerce side.
Complex queries are transformed into simpler queries, which are then converted to BigCommerce API calls. The embedded SQL engine then processes the results in the local cache and applies advanced SQL features from the original complex query.
The connector supports connection pooling and local caching of data to increase the access speed. It also lets you submit multiple update statements to BigCommerce for processing as a batch to improve execution time.
The Python connector is available for Windows 32-bit and 64-bit, macOS 64-bit, and Linux 64-bit.
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.
The connector supports all BigCommerce data types and Python data types. It offers additional options to control data type mapping between the BigCommerce data types and Python data types.
We use cookies to provide you with a better experience on the Devart website. You can read more about our use of cookies in our Cookies Policy.
Click OK to continue browsing the Devart site. Be aware you can disable cookies at any time.
