We performed a comparison between Amazon AWS and Azure Red Hat OpenShift based on real PeerSpot user reviews.
Find out in this report how the two PaaS Clouds solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The tool is a hosting platform that we can leverage to open servers. We can use it to build databases. We use cost management and high-performance capabilities of the tool."
"The most valuable features of Amazon AWS are the high level of capabilities, cloud-native environment, developer-friendly, intuitive interface, and automation. The solution overall is easy to learn from the resources available."
"The stability of the solution is very good."
"We found the solution to be reliable."
"Elasticity has always been AWS's mandate. The flexibility of their platform from a systems perspective lives up to its claims."
"This solution is used as the basic requirement for any virtual machines use cases, the storage is used for each use case."
"It's highly scalable. It's guaranteed 99.99% uptime, and it shows you can scale up or scale out whenever you need more space."
"The solution has very good Lambda functions within AWS."
"The solution's support and its automation tool that ensures we are secure and appropriately configured are the most valuable features of Azure Red Hat OpenShift."
"I would rate the scalability an eight out of ten."
"It has a feature to automatically scale up or scale down. If my application is running in peak hours, it will automatically increase."
"In Kubernetes, when traffic goes out of a pod, it has to have its own IP address. Every service that's going out requires another IP. But with OpenShift, you don't have to deal with any of those IPs because they use NAT."
"It supports AKS and other projects like Kubernetes or EKS."
"The most valuable features of the solution are accessibility and scalability."
"There are numerous use cases, and the setup varies from complicated to very simple in some cases."
"It's sometimes a challenge to manage billing on this platform. It takes a lot of labor to generate billing for our customers from the service on the cloud."
"We don't know whether to increase server capacity or alert notifications. We don't know which hard disc to purchase or what the next recommended CPU is. There should be an indicator. We would like to have more guidance."
"Amazon AWS should integrate AI capabilities."
"It's a good cloud, however, if I compare it with Azure, Azure is more of a feature-rich cloud."
"The dashboard and interface need improvement."
"Requires better integration with other cloud products."
"Monthly costs can be high if you don't maintain your usage"
"There is room for improvement in terms of orchestration. While Azure orchestration offers valuable features, it's worth noting that it may not match the level of orchestration provided by Kubernetes itself."
"One of the things to notice is that this product can be expensive."
"Automation could be improved."
"They need to improve the core licensing model."
"Azure Red Hat OpenShift's support should be improved."
"The product is expensive."
Amazon AWS is ranked 2nd in PaaS Clouds with 250 reviews while Azure Red Hat OpenShift is ranked 10th in PaaS Clouds with 7 reviews. Amazon AWS is rated 8.4, while Azure Red Hat OpenShift is rated 8.4. The top reviewer of Amazon AWS writes "Reliable with good security but is difficult to set up". On the other hand, the top reviewer of Azure Red Hat OpenShift writes "Runs on every platform; makes it easy to adapt to Kubernetes". Amazon AWS is most compared with Linode, OpenShift, Microsoft Azure, SAP Cloud Platform and Oracle Cloud Infrastructure (OCI), whereas Azure Red Hat OpenShift is most compared with OpenShift and VMware Tanzu Application Service. See our Amazon AWS vs. Azure Red Hat OpenShift report.
See our list of best PaaS Clouds vendors.
We monitor all PaaS Clouds 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.