Redis, which stands for "Remote Dictionary Server," is a data structure store that works entirely in memory. It may function as a database, a cache, or a message broker. It is compatible with a wide range of data structures, including strings, hashes, lists, sets, and many others. It is frequently put to use for activities including caching, real-time data processing, and leaderboards.
Redis’s speed is one of its most notable advantages. Rather than storing data on disc, Redis saves all of the data in memory, which makes for extremely rapid data access. Because it supports a large variety of data types and data structures, Redis is extremely adaptable and may be put to use in a wide variety of application settings.
Redis is a widely used solution for online applications due to the fact that it is quick, can be scaled, and can be utilised in a number of different ways. Access to Redis may be gained through the use of many different programming languages, including Ruby, Python, Java, Go, and a great many more besides.
In-memory data storage
Redis keeps all of its data in memory, which makes it possible to access data very quickly and with much less latency. Because of this, it is ideally suited for high-performance jobs such as real-time data processing, caching, and others.
Redis stores the data in memory, which allows it to manage a huge number of queries per second. As a result, it is well-suited for usage in applications that experience high levels of traffic.
Wide range of data types and structures:
Redis is a flexible choice for a wide range of applications because it can handle many different types and structures of data. These data types and structures include strings, hashes, lists, sets, and more. It also offers built-in support for data structures such as sorted sets, which may be utilised in the implementation of leaderboards and other real-time analytics capabilities.
Redis also supports persistence to disk, it can be set up to save its data to disk in the form of RDB file or Append Only File(AOF). This feature ensures data durability and recoverability.