Final answer:
The relational data model's limitation of inflexibility with unstructured data, difficulties with large-scale data management, and handling of complexity in distributed systems led to the rise of nontraditional DBMS products.
Step-by-step explanation:
A limitation of the relational data model that contributed to the development of nontraditional DBMS products is its inflexibility when it comes to unstructured data, handling large-scale data and the complexity of distributed systems.
Relational databases tend to be limited by software and hardware requirements, making it challenging to scale horizontally (across many servers) which is a necessity in big data applications. Moreover, they are difficult to parameterize and communicate with when dealing with data that doesn't fit into traditional table structures.
As a result, non-relational, or NoSQL databases, and other nontraditional DBMS products have emerged, offering more flexibility with data models, scalability across distributed systems, and increased capability to handle large volumes of data that do not conform to a rigid schema.