Which type of NoSQL database allows data to be stored in documents?

Which type of NoSQL database allows data to be stored in documents?

• A. Key-value databases
• B. Graph databases
• C. Document databases
• D. Column-oriented databases

Answer: (C)

Document databases are designed specifically to store, retrieve, and manage document-oriented information, primarily in formats like JSON or XML. They excel in handling semi-structured data and allow each document to have a flexible schema, meaning that different documents can contain different fields and structures. This capability is particularly beneficial for applications that need to evolve over time, as new fields can be added without requiring a complete redesign of the database schema. In document databases, data is organized into collections of documents, which enables easy organization and querying of related information. For example, in a document database, a single document could represent a user profile, encapsulating all relevant user data in one entity, simplifying data manipulation and retrieval processes. This is distinctly different from other types of NoSQL databases, which focus on different methods of data storage and querying. Key-value databases store data as a simple collection of key-value pairs, graph databases focus on relationships and connections between data points, and column-oriented databases are structured primarily for handling data in columns, which is more suited for analytical applications.

Document databases are designed specifically to store, retrieve, and manage document-oriented information, primarily in formats like JSON or XML. They excel in handling semi-structured data and allow each document to have a flexible schema, meaning that different documents can contain different fields and structures.

This capability is particularly beneficial for applications that need to evolve over time, as new fields can be added without requiring a complete redesign of the database schema. In document databases, data is organized into collections of documents, which enables easy organization and querying of related information.

For example, in a document database, a single document could represent a user profile, encapsulating all relevant user data in one entity, simplifying data manipulation and retrieval processes. This is distinctly different from other types of NoSQL databases, which focus on different methods of data storage and querying. Key-value databases store data as a simple collection of key-value pairs, graph databases focus on relationships and connections between data points, and column-oriented databases are structured primarily for handling data in columns, which is more suited for analytical applications.