Traditional (or relational) databases have had significant influence in the database industry, but their limitations and lack of agility often made them a less-than-ideal solution. Document databases offer more flexibility by storing entities as a single JSON-type document according to the application requirements, without affecting the database.
A document database is a type of NoSQL database widely used to store and manage semi-structured data with diverse attributes. Due to its flexibility for data modeling, a document database is one of the more reliable sources for storing, and when required, querying the data in a similar document format as the source code. Multi-model databases support the work done by document databases.
When to use a document database
A document is a complex structure where data is stored by text, JSON, string, or array. In a document database, information or query data can be stored as a JSON-type document. An effective way to extract unstructured data is using nested documents, which come up with a document database. It is used in media platforms i.e., blogs, e-commerce web applications, and other types of streaming platforms.
A document database is helpful for content managing applications, profile management, eCommerce platforms, and documented data such as blogs, articles, etc. where every document has diverse attributes. Because every entity is stored with the application’s requirements, document databases are also easier to navigate.
Another benefit of a document database is that they save time, since data doesn’t have to be modified and no schema has to be updated. However, there are some drawbacks of document databases:applications are not safe for sensitive data and every collection of data requires separate queries.
As organizations demand less complex and easily operable data storage models, document databases offer the flexibility o effectively manage content.
They are remarkable in incorporating unique content because of their schema-less database.
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