Non-relational databases that store data in document formats are called what?

Non-relational databases that store data in document formats are called what?

• A. Key/value databases
• B. Document databases
• C. Relational databases
• D. Graph databases

Answer: (B)

Document databases store data as documents, typically in formats like JSON or BSON. They’re a type of NoSQL database with flexible, schema-less structures, so you can store semi-structured data without predefined tables. Each document holds all the information for an item and can be queried on its internal fields, with indexes to speed access. This differs from key-value stores, which retrieve values by a simple key, relational databases that use fixed schemas and tables, and graph databases that model relationships as nodes and edges. Document databases are great when the data model can evolve and you need rich, field-level querying inside each stored document. Examples include MongoDB and CouchDB.

Document databases store data as documents, typically in formats like JSON or BSON. They’re a type of NoSQL database with flexible, schema-less structures, so you can store semi-structured data without predefined tables. Each document holds all the information for an item and can be queried on its internal fields, with indexes to speed access. This differs from key-value stores, which retrieve values by a simple key, relational databases that use fixed schemas and tables, and graph databases that model relationships as nodes and edges. Document databases are great when the data model can evolve and you need rich, field-level querying inside each stored document. Examples include MongoDB and CouchDB.