Why is Redis faster than SQL?

Which is faster Redis or SQL?

If you're going to be needing an SQL "JOIN" then you won't want to use Redis, nor any other non-relational database. Redis is faster though than most relational databases. If you're only going to be doing key:value pair queries, then you'll want to use Redis.

Why Redis is faster than MySQL?

As a matter of fact, Redis keeps the data in-memory every time, but also persistent on-disk. So, it comes with a trade-off: Amazing speed with a size limit on datasets (as per memory). In this article, to have some benchmarks in comparison to MySQL, we will be using Redis as a caching engine only.

Is Redis faster than a database?

MongoDB is schemaless, which means that the database does not have a fixed data structure. This means that as the data stored in the database gets larger and larger, MongoDB is able to operate much faster than Redis. Redis is only significantly faster when the stored data is relatively small in size.

Why Redis is fast?

The reasons for the high performance of redis are as follows: Memory storage: redis uses memory (in memory) storage, without disk IO overhead. Single thread implementation: redis uses a single thread to process requests, avoiding the cost of thread switching and lock resource contention between multiple threads.