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It provides a mechanism for storage and retrieval of data other than the tabular relations model used in relational databases. NoSQL database doesn't use tables for storing data. It is generally used to store big data and real-time web applications.
These are used for large sets of distributed data. There are some big data performance issues which are effectively handled by relational databases, such kind of issues are easily managed by NoSQL databases.
NoSQL Database is a non-relational Data Management System, that does not require a fixed schema. It avoids joins, and is easy to scale. The major purpose of using a NoSQL database is for distributed data stores with humongous data storage needs.
Welcome to the first chapter of the MongoDB tutorial (part of the MongoDB Developer and Administrator Course). This tutorial provides an introduction to the NoSQL and NoSQL database. Let us explore the objectives of this lesson in the next section.
This course will be completed in six weeks, it will be supported with videos and exercises that will allow you to identify the differences between the relational and NoSQL databases. As part of these alternative technologies, the student will learn the main characteristics and how to implement the typical NoSQL databases, such as Key-value, columnar, document, and graph.
NoSQL (Non-SQL or Not-only-SQL) databases are increasing in popularity due to the growth of data as they can store non-relational data on a super large scale, and can solve problems regular databases can't handle. They are widely used in Big data operations.