NoSQL, short for Not only SQL, is a type of non–relational database that provides a mechanism for storage and retrieval of data which is modeled in means other than the traditional table–based relational model. NoSQL databases are increasingly used in Big Data and real–time web applications. NoSQL databases are different from traditional relational databases in that they do not require fixed table schemas, and are designed to handle large amounts of data that can be stored and retrieved quickly.

NoSQL databases are often used for storing large amounts of data in a distributed environment. This makes them ideal for storing data that needs to be retrieved rapidly and in a distributed manner. Examples of data that might be stored in a NoSQL database include user profiles, game data, social media posts, and product catalogs.

NoSQL databases are also particularly useful for dealing with unstructured or semi–structured data. This type of data does not have a fixed schema, meaning that it cannot be stored in a traditional relational database. Instead, NoSQL databases provide an efficient way to store and query data that is not structured in a traditional relational format. NoSQL databases are typically easier to scale than relational databases, as they are designed to handle large amounts of data.

This makes them ideal for use in web applications or other applications that need to handle large amounts of data. Additionally, NoSQL databases are often more cost–effective than relational databases, as they do not require complex data modeling and schema design.

NoSQL databases also provide a higher level of data consistency than traditional databases. This means that data stored in a NoSQL database is more likely to be consistent and up–to–date when it is retrieved. Additionally, NoSQL databases are often more reliable than traditional databases, meaning that they are less likely to suffer from data loss or corruption.

NoSQL databases are becoming increasingly popular for use in distributed systems, web applications, and other applications that need to handle large amounts of data. While they do not provide the same level of data modeling and schema design as traditional relational databases, they offer a more efficient and cost–effective way to store and query data. Additionally, NoSQL databases provide a higher level of data consistency and reliability than traditional databases.

For these reasons, NoSQL databases are becoming increasingly popular for use in a variety of applications.