September 26, 2022


Software Development

A Comparative Study of Managed Redis Hosting on Azure, AWS, and GCP:


The upsides of having an in-memory, key-value data store can be understood by the Redis server’s tremendous applications. Though it is behind other relational databases in terms of the heavy workload features that they offer, the Redis data store finds its usage in many roles. 

It can be employed as a simple database, cache, and an excellent pub/sub system. The in-memory feature enables the Redis server to be tremendously fast while minimizing latencies. On the downside, it requires a truckload of memory to operate. 

What are the different types of managed Redis hosting?

Managed Redis hosting is available in the form of-

  • Microsoft Azure 
  • Amazon Web Services 
  • Google Cloud Platforms. 

Though all of these provide managed Redis services, their features and version vary. Let’s do a brief rundown of the features and the available versions with the hostings mentioned above. 

Comparative study of the managed Redis hosting by Amazon, Microsoft, and Google:

In all these service providers, the user can host Redis on his instance/VM. But the comparison that we will be doing discusses the managed services and not the host-your-own-implementations. Redis on shared hosting is our prime focus here. 

Amazon Web Services:

The managed Redis hosting by Amazon includes part of its Elastic ache along with me cached as a service offering. You will be amazed at the brilliant features available. 

  • Amazon Elastic ache offers support for multiple Redis versions, up to Redis 5.0
  • The Amazon Web Services integration with Redis offers maximum availability options. For high-availability, AWS helps you choose from Redis clusters, stand-alone servers, and replicated servers. 
  •  Elasticache features its indigenous backup method. This excellent feature can be accessed and enabled on your servers. After creating native backups, you can effortlessly restore fresh servers and clusters from these native backups. 
  • The Elasticache servers and an S3 bucket will offer tremendous functionality of continuous import and export of the Redis RDB data between themselves. 

Microsoft Azure:

When Microsoft Corporation integrated and extended on the Redis Enterprise’s open-source and developer-friendly product, they called it the Azure cache for Redis. Indeed, this managed hosting of Redis has changed the way enterprises think or execute their workloads. 

  • Azure supports up to Redis version 4.0.
  • The Azure cache for Redis enables you to choose from stand-alone and replicated servers for immense availability. You can also choose from the Redis clusters.
  • The Azure Redis Cache offers a suite of features that range from basic development and testing functions to successful implementation of enterprise-level workloads. 
  • The Azure Redis pricing is quite expensive for the Enterprise and the Enterprise Flash tiers. But these tiers also offer the Zone Redundancy and Data Persistence options, which are immensely useful. 
  • The Azure Redis cache cost is more than the AWS but less than the GCP, comparing hourly rates of standardized packages. 
  • Your servers and your Azure page blobs will enable seamless export and import of Redis RDB data. 

Google Cloud Platform:

The fully-managed Redis service provided by Google Cloud Platform is known as Cloud Memorystore. 

  • GCP also supports up to Redis 4.0 version 
  • Redis clusters are not exactly an option on GCP. For high-availability, you can toggle between stand-alone servers and replicated servers. 
  • The Cloud Memorystore does not offer native backup options. 
  • The Google Cloud Storage bucket and your servers can enable seamless export and import of natively backed-up data. 
  • It is the priciest alternative amongst all other managed Redis hosting services. 

Summing up:

Most of these shared hosting services of the Redis server are meant for development, enterprise-level scalability, and also for testing and production purposes. Since Redis is often employed as a part of production systems, high-availability is a must. 

In the case of the Azure cache for Redis, AWS, and Cloud Memorystore on behalf of GCP, there is a replicated server present, which provides a perfect solution for disaster recovery and management. When one server fails, another one is waiting on standby. Hence, it becomes easier to retrieve data and prevent data loss during production. The Redis cluster is also a milestone in innovation, which provides high-availability. But this is present only as a part of AWS and Microsoft’s Azure. GCP integration with Redis has not presented the cluster features yet. 

So, before making the purchase for yourself or your organization, measure the pros, cons, features, and functionalities and make an informed decision.