In MongoDB, rapid application development (RAD) using Python allows for flexible data structures and polymorphic data types, enabling "the data to do the talking" through index optimization. This approach simplifies data manipulation and reduces code complexity compared to traditional SQL methods. With MongoDB's rich map ecosystem, developers can easily navigate and query complex data structures, making it easier to satisfy common requirements like data reconciliation or version delta calculation. The database also provides a powerful command-line interface (CLI) that allows for JavaScript programming, enabling the creation of custom utilities and scripts to manipulate and analyze data. Overall, MongoDB's harmonization with modern programming languages and ecosystems makes it a more suitable choice than RDBMS for many bigger problems.