Which database model organizes data into tables that are related to each other?

The relational database model is designed to organize data into tables, which are also known as relations. Each table consists of rows and columns, where each row represents a unique record and each column represents a data attribute. This structured format facilitates the efficient organization and retrieval of data.

One of the key features of the relational model is the ability to define relationships between different tables through primary and foreign keys. For example, a table of customers can be related to a table of orders, allowing for complex queries that can combine data across these tables. This relational aspect is what sets the model apart, enabling users to query and manipulate data effectively while maintaining data integrity through well-defined relationships.

The other database models mentioned have different structures and methods of organizing data. The hierarchical model organizes data in a tree-like structure, where each record has a single parent and can have multiple children. The network model is more flexible than the hierarchical model, allowing more complex relationships but still relying on a structure that is fundamentally different from tables. The object-oriented model organizes data as objects, similar to programming concepts, and doesn't utilize tables in the relational sense.

Therefore, the relational database model’s use of tables linked by relationships makes it particularly powerful for managing structured data, which is why it is