The evolution of databases has been remarkable over the years. The traditional relational databases dominated the industry for several decades. However, with the growth of the internet, social media, and big data, NoSQL databases have gained popularity due to their ability to handle large amounts of unstructured and semi-structured data. In recent years, NoSQL databases have gained immense popularity due to their ability to handle large amounts of data and their flexibility in data modeling. NoSQL, which stands for “not only SQL,” is a term used to describe a class of non-relational databases that provide a flexible data model and can scale horizontally to handle large amounts of data.
NoSQL databases are designed to be highly scalable and flexible, making them ideal for handling large amounts of data in real-time. They offer a variety of data storage models such as key-value, document-oriented, column-family, and graph databases. In this article, we will explore the different types of NoSQL databases and their advantages over traditional relational databases.