REDIS
Redis is a high-performance database that stores information in a key-value format in server memory. This is a simple and productive database that cannot be used as the main database for a project, but can be used as a cache, message broker, or queue to optimize the performance of a web application.
Redis is an open source database that was created and is used to scale projects. With a response time of less than a millisecond, it provides applications that process large amounts of data online with the performance they need. Online analytics of various metrics, geodata, caching, organizing chats and support services are just the beginning of the list of things Redis is used for.
Redis is a database. It is concise and incredibly productive, but not as reliable and feature-rich as classic relational MySQL or PostgreSQL. They work on the ACID principle and ensure that the data in them is consistent, structured, isolated, and generally secure. This is important for application stability and performance, as well as transaction security. It is neither possible nor necessary to meet all these requirements and work quickly (as fast as Redis works).
Key-value databases, which include Redis, are less reliable, but are used where performance is more important. They are used in monitoring systems, in particular, for the Internet of Things - the constant receipt of data from various sensors. But the most common application is caching. Redis can store user actions and sessions in web applications, and is useful for compiling leaderboards, monitoring online traffic, and other similar tasks.
Redis data is stored in the main server memory, not on separate disks. This significantly reduces response times and increases data transfer speeds - each read/write takes less than a millisecond, and the overall performance is several million operations per second.
Redis is better than other simple key-value databases because it supports a large number of flexible data structures. You can use it to store strings, lists, hash tables, and even complex structures that calculate probabilities. Redis is used for caching, session storage, chat rooms, video and audio streaming, analytics, and even in neural networks.
Redis code is very simple and structured, all data in the database can be easily transformed, and structures can be combined as dictated by the specifics of your application. Replication allows you to write and process data on multiple servers at once, which increases the read speed and adds protection against server crashes. Plus, if you need it, you can send data from the Redis database to your main database in the format of a system snapshot. Redis supports the most popular programming languages, from Java and C to JavaScript and Go, and includes ready-made clients for interacting with them, so integrating the database into your application is easy.
Redis can grow with your project. It supports horizontal and vertical scaling, which means it can handle both additional tasks and an increased number of users.
Redis is a powerful and fast data storage tool. If you use it in conjunction with your main database, you can significantly improve performance, reduce the load on the server side, and you can also predict performance and eliminate hot spots OF THE DATABASE. At the same time, maintaining another simple and fast database will only reduce costs, as large databases require much more resources to solve the same tasks. With each update, Redis can do more and more, and its use will be beneficial for your project in 98% of cases.
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