The document data model has become widely adopted due to its intuitive nature, flexibility, and resilience, making it ideal for developers working on microservices-based applications. This allows for higher development velocity, reduced code to write, and improved performance. The flexibility of the document model eliminates complex inter-group dependencies that have traditionally slowed developers down, allowing them to work autonomously and move at speed. In contrast, traditional relational databases require coordination with database administrators, ORM layers, and schema modifications, imposing friction on the development process. Empirical evidence shows that this can lead to production problems, slower resolution of issues, and reduced developer autonomy. The document model's flexibility allows for self-describing documents, dynamic schema changes, and polymorphic fields, making it well-suited for agile and DevOps practices, where continuous deployment and autonomous teams are common. Various companies, including Travelers Insurance, HSBC, and Toyota Material Handling, have successfully adopted the document data model to improve developer productivity and autonomy.