"It's very easy to build a new service and get it into production."
"The stability has been excellent."
"The solution offers very good upgrades and updates regularly."
"In terms of managing and configuring infrastructures, Azure is fairly good."
"Provisioning a server is fast, taking only one or two minutes before it is ready."
"In terms of scalability, it is perfect."
"In terms of computer resource management and reduced cost, it is very, very effective. In large environments, it gives you a lot of flexibility to provide different services, like disaster recovery and business continuity with simple and great options because you don't have to spend a lot of time for maintenance, upgrades, and security."
"It's a reasonably priced solution."
"I like that they are very familiar with our VM which makes it easy to use."
"The solution adds great value to any organization."
"This product is currently the leading product within this category."
"The HANA database is a valuable feature"
"The Fiori interface is the most valuable feature. It's one of the highlights that they offer. The in-memory of S4 is very fast."
"We have faced some issues on the pricing side, but it has improved lately. We are trying to adjust to the new pricing methods that they are using now. It should be better from now on."
"The initial setup could be simplified."
"The solution could improve by providing a better user interface and more organized workflows."
"We need more customization and support for doing so."
"It is pretty secure, but it can always be more secure."
"I think it would be good to keep making progress on giving users the ability to do action calls on Data Factory. Right now, it's mostly local. Perhaps Microsoft could add the ability to put some calls in the workflow."
"Its subscription price could be cheaper."
"It should have a better hybrid-cloud central analysis. Their support service also needs to be improved. Our main concern is support calls. Our issue is basically related to the technical functionality of the services that we use. It doesn't behave as expected, and support often fails to solve the problem."
"I would like for them to have more integration with virtualization platforms."
"The product could use more capabilities in the areas of robotics, machine learning and artificial intelligence, but these improvements are already on the way."
"The product can be very complex."
"Doesn't have a common development environment."
"Not just S4 but for SAP in general, the price is a little high because they have implemented a new licensing scheme on a number of connections. The price being too expensive is some of the feedback we get from our customers."
Microsoft Azure is ranked 1st in Infrastructure as a Service Clouds (IaaS) with 185 reviews while SAP S4HANA on AWS is ranked 8th in Infrastructure as a Service Clouds (IaaS) with 5 reviews. Microsoft Azure is rated 8.4, while SAP S4HANA on AWS is rated 8.4. The top reviewer of Microsoft Azure writes "This helps us meet multiple requirements other PaaS solutions do not but there is a lot of room for improvement". On the other hand, the top reviewer of SAP S4HANA on AWS writes "Helps to simplify your workload with automation". Microsoft Azure is most compared with Oracle Cloud Platform, Amazon AWS, Pivotal Cloud Foundry, Google Firebase and OpenShift, whereas SAP S4HANA on AWS is most compared with SAP HANA Enterprise Cloud, Alibaba Cloud, Virtustream xStream, DigitalOcean and Google Cloud. See our Microsoft Azure vs. SAP S4HANA on AWS report.
See our list of best Infrastructure as a Service Clouds (IaaS) vendors.
We monitor all Infrastructure as a Service Clouds (IaaS) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
SAP S/4HANA is a system for managing relational databases. The in-memory system, as well as the columnar structure, results in retrieving the data with better performance than RDBMS systems.
You can deploy it in AWS or in Azure. Here is a brief comparison:
Azure dedicates specific virtual machines and bare metal servers to run SAP HANA. SAP HANA applications run on an SAP application. With Azure, you have an entire SAP application (VM) layer that includes servers, storage, and network configuration. You can deploy resources from 36 Intel with memory of 768GB to 480 Intel processors with 24TB of memory. Finally, you can combine AP and non SAP data. You can apply advanced data services, such as analytics and AI.
Aws
Azure
Supported use cases
Production, non-production
Production, non-production
Supported resources
Up to 48TB of memory
Up to 12TB
Licensing
Pay per use BYOL
subscription
Services
Single and multi-node architecture. Load balancing, instance provisioning.
Load balancing, clustering, Active Directory, and the HANA database.
SAP S/4HANA on AWS provides infrastructure services. AWS has the advantage of making SAP HANA available, cost-effective, and fault-tolerant. With AWS you can configure a single EC2 to host SAP HANA with EBS storage and your chosen operating system. Another option is to use multi-AZ to deploy primary and secondary nodes, using one for production and another for non-production.
You have two main options: First, BYOL (Bring your own license). It supports native HANA applications, S/4HANA, Business Suite on HANA, and you can have OLAP memory up to 100 TB. Second, the express edition, which is free to use for in-memory databases, but keep in mind you’ll have to stay under 32 GB.
Conclusions
Which is best will depend on your use cases. Azure in my opinion offers better performance for big data and AI workloads. AWS provides more reliability and redundancy.