What is NoSQL Database ? | Features, Types, Real life Examples & History | Databases Explained

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0:00 What is a NoSQL database?
NoSQL stands for "Not Only SQL." It refers to a class of database management systems that do not use the traditional SQL relational database model. Instead, NoSQL databases use a variety of different models for storing and retrieving data, such as key-value pairs, documents, or graph structures.

0:26 Brief history of NoSQL databases
NoSQL databases have been around for about two decades, but they have gained popularity in recent years due to the explosion of data being collected and stored by businesses and organizations. NoSQL databases are often used in situations where the data being stored is too large or complex to be easily managed with a traditional SQL database.

0:51 NoSQL database features
NoSQL databases are highly flexible and can handle a wide variety of data types and structures. They are also often designed for horizontal scalability, which means that they can easily handle a large volume of data by adding more servers to the database cluster. Some NoSQL databases offer features such as automatic sharding and replication, which can improve the performance and reliability of the database.

1:19 Types of NoSQL databases
There are several different types of NoSQL databases, including key-value stores, document databases, and graph databases. Key-value stores are designed to store data as a simple key-value pair, with the key being used to retrieve the value. Document databases store data as documents, which can contain complex data structures. Graph databases are used to store and query data that has complex relationships.

1:50 When should NoSQL be used?
NoSQL databases are well-suited for use in applications with a large volume of data or a high number of users. They are also often used in web applications, where they can help to improve performance and scalability. However, NoSQL databases may not be the best choice for all situations, and it is important to carefully consider the specific needs of your application before deciding which type of database to use.