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The definition of a Document Database pertains to its ability to store data in a manner that allows for easy flexibility and structure, often using formats such as JSON, XML, or BSON. This approach is particularly well-suited for handling unstructured or semi-structured data because each "document" can have a different structure while still being stored in the same database.

In a Document Database, data is organized into documents, which can be thought of as collections of key-value pairs, where the keys represent the properties or attributes of the document, and the values represent the data itself. This allows for efficient retrieval and manipulation of complex dataset structures, making Document Databases a great choice for applications that need to scale rapidly with varying data formats.

Notably, while other types of databases may also store data, they tend to impose stricter schemas. For example, relational databases rely on predefined tables and relationships, limiting their flexibility compared to Document Databases. This is why defining a Document Database as a system that stores data in key-value pairs accurately reflects its function and usage in the context of modern data management solutions.

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