Like many, you might think of Redis as only a cache. That point of view is out of date.

Essentially, Redis is a NoSQL in-memory data structure store that can persist on disk. It can function as a database, a cache, and a message broker. Redis has built-in replication, Lua scripting, LRU eviction, transactions, and different levels of on-disk persistence. It provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.

The core Redis data model is key-value, but many different kinds of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, and Bitmaps. Redis also supports geospatial indexes with radius queries and streams.

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[ Also on InfoWorld: How Redis scratched and itch — and changed databases forever ]

To open source Redis, Redis Enterprise adds features for additional speed, reliability, and flexibility, as well as a cloud database as a service. Redis Enterprise scales linearly to hundreds of millions of operations per second, has active-active global distribution with local latency, offers Redis on Flash to support large datasets at the infrastructure cost of a disk-based database, and provides 99.999% uptime based on built-in durability and single-digit-seconds failover.

Further, Redis Enterprise extends the core Redis functionality to support any data modeling method with modules such as RediSearch, RedisGraph, RedisJSON, RedisTimeSeries, and RedisAI, and allows operations to be executed across and between modules and core. All this is provided while keeping database latency under one millisecond.

#nosql #cache #redis #big data