CData Virtuality has integrated a three-level performance optimization mechanism to address concerns about performance in data virtualization, which is a critical aspect of leveraging its full potential. The three levels of optimization include distributed query optimization, caching, and self-learning recommended optimization (materialization), each addressing specific challenges such as rewriting SQL queries for maximum efficiency, utilizing caching to improve query performance, and autonomously creating and managing physical data structures to optimize query execution. By providing a comprehensive solution that addresses multiple aspects of performance challenges, CData Virtuality's materialization capabilities and optimization features are designed to maximize efficiency for enterprises dealing with large datasets, numerous users, complex query structures, or slow databases and/or slow networks.