What should you not use Redis for?

Redis has very simple search capabilities, which means its not suitable for all use cases. Redis doesn’t have good native support for storing data in object form and many libraries built over it return data as a string, meaning you need build your own serialization layer over it.

What is Redis suitable for?

Redis can be used with streaming solutions such as Apache Kafka and Amazon Kinesis as an in-memory data store to ingest, process, and analyze real-time data with sub-millisecond latency. Redis is an ideal choice for real-time analytics use cases such as social media analytics, ad targeting, personalization, and IoT.

What is the limitation of Redis?

With Redis, you cannot. Redis is a data structure server. There is no query language (only commands) and no support for a relational algebra. You cannot submit ad-hoc queries (like you can using SQL on a RDBMS).

Can we use Redis as a database?

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. 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.

What criteria does Redis use to determine if an operation can be performed against a key?

Redis Sorted sets

• If A and B are two elements with a different score, then A > B if A. score is > B. score.
• If A and B have exactly the same score, then A > B if the A string is lexicographically greater than the B string. A and B strings can’t be equal since sorted sets only have unique elements.

Does Redis need a server?

Redis (or Memcached) provides a buffer for such queried results. Therefore, web server only needs to go through the key-value pairs stored in Redis/Memcached ( stored in memory ) to get results.

Why Redis is not used as database?

As Redis is an in-memory storage, you cannot store large data that won’t fit you machine’s memory size. Redis usually work very bad when the data it stores is larger than 1/3 of the RAM size. So, this is the fatal limitation of using Redis as a database.