Final answer:
The relational model is widely used in commercial DBMS due to its effective handling of data relationships and balances simplicity and flexibility. Other models include the hierarchical model for tree-like structures, the network model for versatile many-to-many relationships, and the object-oriented model, suitable for complex real-world scenarios.
Step-by-step explanation:
In the context of commercial database management systems (DBMS), various data models are used. One of the primary models is the relational model, which organizes data into tables with rows and columns. It is widely used by many commercial systems due to its simplicity and efficiency in managing data relationships.
Other models include the hierarchical model, which organizes data in a tree-like structure and is often used in legacy systems; the network model, that connects data objects using a flexible graph structure; and the object-oriented model, which stores data as objects, similar to concepts in object-oriented programming. Each model serves different purposes and offers various advantages in terms of structuring, complexity, and the types of concepts that fall under each method of data representation.
For instance, while the hierarchical model can represent data in a parent-child relationship similar to the taxonomic classification, the object-oriented model provides a more complex representation that can encapsulate both data and behavior, suitable for applications that require adherence to real-world scenarios with complex relationships and attributes. The network model, meanwhile, provides a more versatile approach than the hierarchical, allowing many-to-many relationships, which can more accurately reflect certain types of systems. However, the relational model remains prominent in most commercial applications due to its balance of simplicity, power, and widespread support in commercial DBMS software.