![]() Non-relational databases are therefore ideal for storing data that may be changed frequently or for applications that handle many different kinds of data. ![]() ![]() Non-relational databases often perform faster because a query doesn’t have to view several tables in order to deliver an answer, as relational datasets often do. Despite their differing formats, each of these pieces of information can be stored in the same document. For example, a large store might have a database in which each customer has their own document containing all of their information, from name and address to order history and credit card information. Non-relational databases are often used when large quantities of complex and diverse data need to be organized. This ability to digest and organize various types of information side-by-side makes non-relational databases much more flexible than relational databases.Įxample MongoDB Document for a Patient in Healthcare. A document can be highly detailed while containing a range of different types of information in different formats. Instead, non-relational databases might be based on data structures like documents. Non-relational databases (often called NoSQL databases) are different from traditional relational databases in that they store their data in a non-tabular form.
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