The CData Driver architecture has several key components, including metadata caching services that transparently cache discovered metadata in memory or an external repository for performance advantages, and SQL normalization engines that simplify query interpretation by applying transformation rules to the Abstract Syntax Tree (AST) of a query. The drivers must support diverse query capabilities to work with business intelligence and analytics tools, which often generate complex queries automatically based on their internal rules. A generic OData implementation is also provided to simplify the implementation of additional drivers based on the standard, while other services such as connection pooling, bulk row management, row scanning, page providers, and parallel fetch support are implemented to reduce costs and improve performance. These components work together to simplify the development of a new driver, enabling developers to focus on provider-specific implementation details.