The flexible data model of non-relational databases is a defining feature that enables agility and scalability in managing modern application data. This makes them ideal for use cases such as real-time analytics, IoT, and content management systems.
C. A flexible data model
A non-relational database (often called NoSQL) is characterized by its flexible data model, which allows for:
- Storing unstructured, semi-structured, or structured data.
- Avoiding the need for a strictly enforced schema, enabling dynamic changes to data structure.
- Supporting various data models, such as key-value, document, column-family, and graph formats, depending on the use case.
This flexibility makes non-relational databases ideal for scenarios with rapidly changing data requirements, large-scale datasets, or applications that need high performance and scalability.
C: Flexible Data Model: One of the key characteristics of non-relational databases (also known as NoSQL databases) is their flexible schema. Unlike relational databases, which require data to conform to a strict schema (defined data types and structures), non-relational databases allow data to be stored without predefined schema. This flexibility makes it easier to accommodate changes in data structure and the variety of data types typically found in big data and real-time web applications.
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