NoSQL

NoSQL is a type of database that allows for high scalability and reliability, typically structured as key-value stores, column families, graphs, or wide-column stores. NoSQL is used for handling large amounts of data that is structured, semi-structured, or unstructured – allowing storage of and access to data in a way that is faster and can scale with usage. This makes NoSQL databases perfect for big data applications and analytics.

NoSQL databases are often used to store unstructured data such as JSON documents, images, video files, and other binary forms of data. Unlike traditional relational databases, NoSQL databases allow the storage of data with high availability and partition-tolerant design. This differentiates the NoSQL database from the traditional relational databases, which are rigidly structured and require the same schema for the data stored.

For example, NoSQL databases are distributed in nature. Instead of all the data stored in one physical server, the data can be distributed horizontally across many servers. This ensures that the data is always available. The downside of distributed data is that data consistency can be more challenging. NoSQL also supports column-based databases, which do not necessarily demand that all columns require a value, making them more efficient to utilize.

Overall, a NoSQL database provides applications with the ability to quickly store, retrieve, and manipulate complex and highly unstructured data sets.

An example of NoSQL usage would be a company that has multiple, connected applications and needs easy access to data stored across those applications. With NoSQL, the data can be stored in a single database, ensuring that all applications are able to access the data quickly and easily.

Another example use case would be data that needs to be shared across multiple locations. With NoSQL, the data can be stored and easily accessed from any location with an internet connection. This ensures that data is always available and up-to-date.

Examples of popular NoSQL databases include MongoDB. Redis and Apache Cassandra.