Redis, short for Remote Dictionary Server, is a super-fast, open-source, open source primary value data store for use as a database, cache, message broker, and queue. The project started when Salvatore Sanfilippo, an early developer of Redis, tried to increase the scalability of his Italian startup. Redis now responds in under a millisecond enabling millions of requests per second for real-time applications across Gaming, Ad-Tech, Financial Services, Healthcare, and IoT. Redis is a popular choice for caching, session management, gaming, leaderboards, real-time analytics, geospatial, ride-hailing, chat/messaging, media streaming, and pub/sub apps.
How does Redis work?
All Redis data resides in memory, as opposed to databases that store data on disk or SSD. By eliminating the need to access disks, in-memory data stores like Redis avoid seek time delays and can access data in microseconds. Redis is equipped with versatile data structures, excellent availability, geospatial, Lua scripting, transactions, on-disk persistence, and cluster support that make it easier to build real-time internet-scale applications.
Redis Vs Memcached
Both Redis and MemCached are in-memory open source data stores. Memchached, is a high-performance distributed memory cache service, designed for simplicity, while Redis offers a rich feature set that makes it effective for a wide range of use cases. For a detailed feature comparison to help you make your decision, see Redis vs Memcached. Both work with relational or primary value databases to improve performance such as MySQL, Postgres, Aurora, Oracle, SQL Server, DynamoDB, and more.
What’s new with Redis 5.0
Redis 5, and now Redis 5.0.3, is the latest GA version of open source Redis. Since its initial release in 2009, open source Redis has evolved beyond caching technology to a fast, easy-to-use in-memory data store that provides versatile data structures and responses in under a millisecond. Redis achieved major milestones with the release of 5.0, which includes various advancements and improvements. The big story here is the introduction of Streams, the first entirely new data structure in Redis since HyperLogLog. This release also adds more commands for Sorted Sets, and new capabilities for the Module API.
Redis Advantage
- Data storage in memory
All Redis data resides in the server’s main memory, which is different from databases like PostgreSQL, Cassandra, MongoDB and others which store most of the data on disk or on an SSD. Compared to traditional disk-based databases where most of the operations require a roundtrip to disk, in-memory data stores like Redis don’t suffer the same consequences. Thus, the database can support an order of magnitude more operations and faster response times. The result is – super-fast performance with an average read or write operation taking less than a millisecond and supporting millions of operations per second.
- Flexible data structure
Unlike primary value data stores which offer limited data structures, Redis has a variety of data structures to suit your application.
- Simple and easy to use
Redis simplifies code by allowing you to write fewer lines of code to store, access, and use data in your applications. For example, if your app has data stored in a hashmap, and you want to store that data in a data store – you can simply use a Redis hash data structure to store that data. A similar task on a data store with no hash data structure would require many lines of code to convert from one format to another. Redis comes with native data structures and many options for manipulating and interacting with your data. More than a hundred open source clients are available to Redis developers. Supported languages include Java, Python, PHP, C, C++, C#, JavaScript, Node.js, Ruby R, Go, and more.
- Replication and persistence
Redis uses a primary replica architecture and supports asynchronous replication where data can be replicated across multiple servers. Redis provides improved read performance (as requests can be split between servers) and faster recovery where the primary server crashes. For persistence, Redis supports time-specific backups (copying Redis datasets to disk).
- Excellent availability and scalability
Redis offers a primary replica architecture on a single primary node or cluster topology. This allows you to build excellent available solutions, providing consistent performance and reliability. If you wish to adjust the cluster size, various options for scaling up, and inserting or removing scales are also available. This allows your cluster to grow with your requests.
- Extensibility
Redis is an open source project backed by a passionate community. There is no vendor or technology lock-in because Redis is based on open standards, supports open data formats, and provides the benefits of a rich variety of clients.
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