Document Stores Database

Document Stores Database relates to databases in in which information is stored in the form of documents. Document stores deliver excellent efficiency and choices for horizontal scalability. Documents within a document-oriented database are somewhat comparable to documents in relational databases, but are much more flexible because they are less schematic. The documents standard formats are like XML, PDF, JSON, and so on. In relational databases, a record within the same database will have the same data fields and the unused data fields will be kept empty, but each document may have similar and dissimilar data in the case of document stores. A unique key that represents the document is used to address documents in the database. These keys can be a simple string or a URI or path string. In comparison with key value stores, document store is a little more complex because they allow the key value pairs to be embedded in documents which are also known as key document pairs.

For content management systems and blog applications, Document-oriented databases are suitable. Examples are the 10 G MongoDB, Apache CouchDB, Azure’s DocumentDB and AWS DynamoDB, providers who use document orientated databases. The MongoDB is developed with a 10 G C++ and is an inter-plate- based, cross-platform document-oriented database. Grid File System is used to store large files in binary JSON format such as images and videos. It delivers high efficiency, consistency and persistence but is not very reliable and has a hungry resource

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