Sometimes, queries require several operations like retrieving data from a database, performing calculations, retrieving additional data from other services, etc., that drag our performance down. It is especially the case for expensive (in time) operations.Īs a back-end developer, our task is to complete the clients’ requests as fast as possible. The goal of caching is speeding up data access operations better than a database, or remote server could allow. One of the most popular use cases of Redis is caching.Ĭaching is the process of storing copies of data in caches to allow applications to access and retrieve data faster. Redis is best in situations that require data to be retrieved and delivered to the client in the least amount of time. Supported data structures give Redis the versatility for many use cases. , including strings, lists, hashes, sets, and sorted sets. Redis has support for storing multiple data structures and data types
Redis supports disk-persistent data storage, too, if needed. You can think of it as a No-SQL database, which stores data as a key-value pair in the system memory. Redis is an open-source (BSD licensed), in-memory data structure store used as a database, cache, and message broker. We’ll also use Redis to create a simple cache for a Node application to see how it impacts its performance In this tutorial, we are going to give you a quick introduction to Redis. Though its most popular use case is caching, Redis has many other use cases where you can take advantage of its blazing-fast in-memory database. Has become a common occurrence in a Node.js application stack.
Beginner’s Guide to Redis and Caching with NodeJS Updated on Nov 30, 2020
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