Which type of database is best for handling structured data?

A relational database is particularly well-suited for handling structured data because it organizes information into tables that consist of rows and columns. This structured approach allows for complex queries and relationships to be defined, such as one-to-many and many-to-many relationships between different data sets. Each table in a relational database can be linked through keys, ensuring data integrity and making it easy to retrieve and manipulate the data using SQL (Structured Query Language).

Structured data, by its nature, is highly organized, often following strict schema rules that define the format and type of data that can be stored. Relational databases leverage this organization to facilitate efficient data storage, retrieval, and management. This makes them a preferred choice in many applications where data consistency and relationships between data points are crucial, such as in business applications, inventory management systems, and customer relationship management systems.