Why Tables?
Organization: Tables provide a structured way to organize data into rows and columns. Each row represents a record, and each column represents a specific attribute or field.
Efficiency: This format allows for efficient data storage, retrieval, and manipulation.
Indexing: Databases can create indexes on columns, enabling rapid searching and sorting of data.
Relationships: Tables can be linked together to represent complex relationships between data (e.g., one-to-one, one-to-many, many-to-many).
Other Formats
While tables are the fundamental structure, it's important to note that:
Images, text, and other data types can be stored within tables as part of a record, often as references to external files or as binary data.
Graphs are typically not a direct storage format in traditional relational databases. However, graph databases specialize in storing and managing graph-structured data.
In summary, while a DBMS can handle various data types, the core structure for organizing and managing data is the table.