Python Connector for Salesforce Features

• Standard SQL Syntax - The connector fully supports the ANSI SQL standard and lets you execute SQL statements against your Salesforce data just like you would normally work with relational databases. Simple queries are directly converted to Salesforce API calls and executed on the Salesforce side. Complex queries are transformed into simpler queries, which are then converted to Salesforce API calls. The embedded SQL engine then processes the results in the local cache and applies advanced SQL features from the original complex query.
• 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 Salesforce for processing as a batch to improve execution time.
• Platform Support - The Python connector is available for Windows 32-bit and 64-bit, macOS 64-bit, and Linux 64-bit.
• 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 - The connector supports all Salesforce data types and Python data types. It offers additional options to control data type mapping between the Salesforce data types and Python data types.