It commonly referred to as a data structure server


Redis (REmote DIctionary Server) is an in-memory, key-value database, commonly referred to as a data structure server. One of the key differences between Redis and other key-value databases is Redis’s ability to store and manipulate high-level data types. These data types are fundamental data structures (lists, maps, sets, and sorted sets) that most developers are familiar with. Redis’s exceptional performance, simplicity, and atomic manipulation of data structures lends itself to solving problems that are difficult or perform poorly when implemented with traditional relational databases.

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1. High-Level Data Structures

Provides five possible data types for values: strings, lists, sets, hashes, and sorted sets. Operations that are unique to those data types are provided and come with well documented time-complexity (Big O notation).

2. High Performance

Due to its in-memory nature, the project maintainer’s commitment to keeping complexity at a minimum, and an event-based programming model, Redis boasts exceptional performance for read and write operations.

3. Lightweight With No Dependencies

Written in ANSI C, and has no external dependencies. Works well in all POSIX environments. Windows is not officially supported, but an experimental build is provided by Microsoft.

4. High Availability

Built-in support for asynchronous, non-blocking, master/slave replication to ensure high availability of data. There is currently a high-availability solution called Redis Sentinel that is currently usable, but is still considered a work in progress.

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