node-cache VS node-redis

4. node-cache

One such implementation if you are using nodejs is `node-cache` https://github.com/node-cache/node-cache/blob/master/README.md. However you can probably find an implementation for most any language you are using.

In-process caching may be implemented in a Node.js application through libraries, such as node-cache, memory-cache, api-cache, and others. There is a wide variety of distributed caching solutions, but the most popular ones are Redis and Memcached. They are both in-memory key-value stores and optimal for read-heavy workloads or compute-intensive workloads due to their use of memory rather than the slower on-disk storage mechanisms found in traditional database systems.

If you're looking for a caching library, there are several of them in every language I've ever used. For example, in Node node-cache is very popular (https://github.com/node-cache/node-cache). Every language I've ever worked in has a few of these. They tend to have a pretty similar basic feature set, and they all have at least the same functions that you defined in your project.

To use Redis in Node.js, we need to install the redis package. It serves as a client to the Redis instance on our machine itself:

Ensure that you have Redis installed before trying out the sample code below. You may follow the official quickstart guide to learn how to get it up and running. Furthermore, make sure to install the necessary dependencies before running the program. This example utilizes the node-redis library.