How does MongoDB differ from a relational database?

How does MongoDB differ from a relational database?

• A. MongoDB has a flexible schema, while SQL uses a fixed predefined schema.
• B. SQL databases do not support transactions.
• C. MongoDB uses rigid schemas identical to SQL.
• D. MongoDB stores data only as key-value pairs.

Answer: (A)

MongoDB differs in its document-oriented, flexible-schema design versus the fixed-schema, table-based structure of relational databases. In MongoDB you store documents in collections; each document can have a different shape, fields can be added or removed over time, and nested data is common. This flexibility supports evolving data models and unstructured or semi-structured data. Relational databases require a predefined schema with tables, columns, and data types, and changes to the schema usually involve migrations and careful planning to preserve relationships. Additionally, MongoDB stores data as documents rather than just key-value pairs, while relational systems organize data through rows and foreign-key relationships. And unlike what some statements suggest, SQL databases do support transactions, so that part isn’t accurate.

MongoDB differs in its document-oriented, flexible-schema design versus the fixed-schema, table-based structure of relational databases. In MongoDB you store documents in collections; each document can have a different shape, fields can be added or removed over time, and nested data is common. This flexibility supports evolving data models and unstructured or semi-structured data. Relational databases require a predefined schema with tables, columns, and data types, and changes to the schema usually involve migrations and careful planning to preserve relationships.

Additionally, MongoDB stores data as documents rather than just key-value pairs, while relational systems organize data through rows and foreign-key relationships. And unlike what some statements suggest, SQL databases do support transactions, so that part isn’t accurate.