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The term for a collection of tables that allows connections between the information in each table is known as a relational database. This type of database organizes data into tables, which can be linked together through relationships. Each table represents a specific entity and contains rows (records) and columns (fields or attributes), enabling efficient data retrieval and management.

Relational databases utilize structured query language (SQL) for operations, allowing users to perform complex queries across multiple tables using joins. This capability makes relational databases highly versatile and effective for handling large amounts of data while maintaining data integrity and reducing redundancy.

Hierarchical, networked, and central server databases do not use this table-based structure with defined relationships in the same way. Hierarchical databases, for example, arrange data in a tree-like structure which limits the connection style to parent-child relationships. Networked databases allow more complex relationships but still do not rely on a strictly table-based format. Central server databases refer to the infrastructure aspect rather than the organization of the data itself, making this term less relevant when discussing the principles of data organization and relationships.