"It's set up to handle any cloud requirement."
"Microsoft Azure has a large scope, it can do many things."
"The most valuable feature of Microsoft Azure is it has everything together in one place. It is one large tool with lots of small tools that are updated often."
"The support is responsive and dedicated to SMEs."
"The scalability is the most unique feature. Whenever our user count is high, and utilization of our application results in high use of resources, Microsoft Azure automatically scales our application so that users can access it without any issues or errors. Microsoft Azure gives you the flexibility to scale your applications up and down at any moment. It is quite easy and impressive."
"The solution is completely scalable."
"There are several products within Azure."
"The pricing is quite good, and it is designed as pay-per-use."
"SAP S4HANA's most valuable features include backup, security, storage, infrastructure, and enabling AI."
"The solution adds great value to any organization."
"We have approximately 1,000 people using the solution in my organization. The solution is scalable."
"The solution is scalable."
"They have their own instances where you can host your database."
"The most valuable feature of SAP S4HANA on AWS is that when developed on a new structured system it can be configured."
"SAP S4HANA on AWS has high performance. All the data is in one place and it's real-time. When you make an entry you don't have to wait a couple of minutes, hours, or overnight as something the batch process takes time. It is instantaneous and is available to everybody."
"I would like to see better policy-based management and everything related to security management could have been better integrated."
"I would like to see all of the cloud providers be more compatible with each other."
"They can add more documentation about the solution."
"From a security perspective, it could be improved."
"Technical support is lacking right now. It needs to be better."
"Any time you use a cloud service, there are increased security risks. If you want more security, you have to have private hosting."
"There could be more documentation and video tutorials to incorporate each and every feature. This way one can easily get the knowledge and implement it."
"Technical support needs improvement."
"SAP S4HANA could be improved by adding a click-to-deploy model."
"If you go to AWS's site they offer training programs that are very good. SAP does not do the same, if SAP could provide some training that would be great."
"The initial setup could be easier. It's complex."
"There are a few complexities when it comes to licensing that could be simplified."
"The drawback of this tool versus an on-site tool is that you've got to upgrade the tool. The software is upgraded as it gets upgraded and you've got to be ready to change whatever processes and do whatever training you need to do."
"The product can be very complex."
"SAP S4HANA on AWS could improve by having the entire solution available as a web solution. They only have Fiori right now, and it's a solution for certain modules, but not for all the modules that SAP currently has. We would like to see the GUI removed, it is not very good. We want it to be web-based."
Microsoft Azure is ranked 1st in Infrastructure as a Service Clouds (IaaS) with 190 reviews while SAP S4HANA on AWS is ranked 5th in Infrastructure as a Service Clouds (IaaS) with 7 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 "High performance, impressive technology, and useful dashboards". Microsoft Azure is most compared with Amazon AWS, Oracle Cloud Platform, Google Firebase, Pivotal Cloud Foundry and Salesforce Platform, whereas SAP S4HANA on AWS is most compared with SAP HANA Enterprise Cloud, Google Cloud, Alibaba Cloud, Linode and Amazon AWS. 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.