Which database model organizes data into tables?

The relational database model organizes data into tables, which are comprised of rows and columns. Each table represents an entity, with each row corresponding to a unique record and each column representing an attribute of that record. This structure allows for clear organization and easy retrieval of data, enabling powerful querying capabilities through structured query languages like SQL (Structured Query Language).

In a relational database, relationships between tables can also be established through foreign keys, allowing for complex data relationships and integrity constraints that enhance data accuracy and consistency. This model is foundational in many database systems, making it highly effective for a wide range of applications.

In contrast to the relational model, the hierarchical database model organizes data in a tree-like structure, which can be more rigid and difficult to navigate in complex data scenarios. The NoSQL database model encompasses a variety of database types that do not necessarily use tables, focusing instead on flexible schemas, which can be beneficial for handling unstructured data. The object-oriented database model combines database capabilities with object-oriented programming, using objects to represent data, which can be beneficial for certain applications but does not employ the traditional table format of a relational database.