Which type of database is specifically structured for storing document records?

The answer is C, Document Database, because this type of database is specifically designed to store, retrieve, and manage document-oriented information. Document databases allow for flexible schema definitions, enabling the storage of complex data structures such as JSON, XML, or BSON formats, which can include nested data. This is particularly beneficial for applications that handle unstructured or semi-structured data, as it offers ease in querying and manipulating individual documents rather than structured rows and columns typical of relational databases.

In contrast, a relational database is designed for structured data and relies on a fixed schema, making it less suitable for document records. A graph database is focused on storing data in graph structures for representing relationships, and time-series databases are optimized for handling time-stamped data, typically used for logging information over time. Therefore, the clarity and flexibility of document databases make them the ideal choice for managing document records efficiently.