What is a common use case for non-relational data?

The selection of modeling social interactions in web and mobile applications as a common use case for non-relational data is accurate due to several factors inherent to the nature of non-relational databases, often characterized by their flexibility and ability to handle diverse data types.

Non-relational databases, commonly known as NoSQL databases, excel in scenarios where data is unstructured or semi-structured and does not fit neatly into tables with fixed schemas, as is typical in relational databases. In the context of social interactions, applications often need to store and retrieve vast amounts of data that can vary widely in format—such as user profiles, posts, likes, comments, and interactions—on a scale that can grow exponentially as user engagement increases.

Moreover, non-relational databases typically provide advantages in horizontal scalability. This means they can efficiently handle large volumes of concurrent reads and writes, which is crucial for applications expecting to handle a fast-paced influx of user-generated content. Additionally, non-relational databases offer various data models, such as document, key-value, graph, or wide-column stores, which can be optimized for specific queries and data retrieval patterns that arise in social applications.

Overall, the capability to manage diverse data formats, combined with the need for scalability and flexibility, makes non