Redis as a Cache vs Redis as a Primary Database in 90 Seconds

We received a lot of good feedback on our post titled, “Learn How Redis Simplifies Your Architecture in 90 Seconds,” so we decided to do a follow-up about Redis as a cache versus Redis as both a cache and a primary database.

How to replace your primary database with Redis

Everyone knows Redis began as a caching database, but it has since evolved to a primary database. Many applications built today use Redis as a primary database. 

However, most Redis service providers support Redis as a cache, but not as a primary database. This means you need a separate database like DynamoDB in addition to using Redis. This adds complexity, compromises latency, and prevents you from realizing the full potential of Redis.

With Redis Enterprise, you can use Redis as both an in-memory cache and a primary database in a single system, thus eliminating the complexity and latency of two separate systems. Not only that, you can use it as a multi-model primary database, enabling you to build modern applications, as well as low-latency microservice-based architectures, all on top of Redis.

Instead of relying on separate databases and caches, utilize the native features of Redis Enterprise, such as: 

Leverage all of the above with auto-scaling, enterprise clustering, and Active-Active Geo Replication

Watch the video below to see what we mean:

Next Steps