While flat files have traditionally served basic data storage needs, more complex data structures can more effectively organize and relate information for modern applications. Hierarchical and relational databases allow for nested relationships between different types of data at varying levels of abstraction, facilitating more sophisticated querying, analysis, and use of the stored information. As digital data and software systems continue to grow in scale and complexity, adopting database structures that can accommodate those evolving needs may provide benefits over relying solely on the limitations of basic flat files.