Document-oriented databases are designed to store, retrieve, and manage data in the form of documents, typically using formats like JSON or XML. Each document is a self-contained unit that can include various types of data, such as text, images, and metadata, making it flexible and easy to work with. This structure allows for quick access and efficient storage, especially for unstructured or semi-structured data. These databases are often used in applications where data can vary significantly, such as content management systems or e-commerce platforms. Popular examples of document-oriented databases include MongoDB and CouchDB, which provide scalability and high performance for handling large volumes of data.