We compared Microsoft Azure and Amazon AWS across several parameters based on our users' reviews. After reading the collected data, you can find our conclusion below:
Comparison Results: When comparing Microsoft Azure and Amazon AWS, Azure is praised for its manageable setup, support, and documentation. It offers a wide range of features, an intuitive interface, and strong integration with other Microsoft solutions. However, it may be challenging for beginners and lacks user-friendliness in certain aspects. On the other hand, AWS provides quick deployment, extensive features, and strong integration capabilities. Users appreciate its scalability, reliability, and cost-effectiveness. However, some users find AWS pricing to be high and suggest improvements in areas like user interface, security, and billing.
"Provisioning and resource administration include billing dashboards, which are very extensive."
"It scales extremely well."
"The features that I have found most valuable are its cloud storage and compute services."
"There are a lot of features that I really like including ease of deployment, ease of build and release, and also that it is heavily focused on a PaaS or SaaS model."
"AWS has large community support."
"There are many valuable features, I find the EMR in the platform easy to use and to learn."
"AWS is constantly growing in features with every new version. It's a good cloud provider with excellent availability. The integration is good, and their security products are interesting. Amazon is always innovating and delivering new products to customers."
"The most valuable features are how stable and easy to use Amazon AWS is."
"Feedback and error messages make much more sense in Azure than in AWS."
"SQL Server has been most beneficial for our client’s workload."
"Azure is very user friendly. I was able to create some database servers really fast. The user interface is intuitive."
"One of the features I have found to be valuable is the scale set feature."
"It was easy to deploy our applications on it."
"The robust encryption services increase the confidence of tech users."
"Easy to deploy services"
"The most valuable features of Azure for me are its ease of management, recoverable virtual machines with backup support, excellent customer support, and user-friendly interface."
"The customization could be improved."
"They are mainly generalists without access to the operating system. As such, they can provide container level insights,not necessarily at the application level."
"Some of their well-listed services are not super configurable."
"We have a very good approach internally with what we have developed. It involved overcoming some hurdles regarding the single point of truth or single point of configuration, which is sometimes not that easy for AWS. There are dashboards and you have your web service, but bringing all these together and orchestrating is sometimes quite difficult."
"The networking is overly complex."
"User personalization and robotic process automation services need to be mature enough. More APIs are required for robotic process automation services. Azure is more mature in terms of user personalization and robotic process automation services. The document processing can also be better. Whenever we want to do any kind of document management, I try to do OCR, ICR, etc. The functionality in AWS has to be more like that."
"Our use case is limited to virtual services and RPA development. We are not using it quite heavily, and there are not many issues or problems so far. However, it would be great if it could be integrated with more AI features and proactive monitoring. It could also have more automatic capacity expansion features. For example, when renting out some space, memory, or computing power, the service can have the capacity to expand by itself without being manually handled by us."
"Amazon AWS could be improved with cheaper licensing costs."
"Maybe Azure could add an address code to create your analysis without SQL or Python because some business users don't want it to code. So it's good to have a service application that connects to the data lake to conduct analysis and simplify the business process."
"The Azure Billing API could be so much better. It only provides billing metrics for a set duration."
"Customer services and support should be improved. If a user faces challenges in accessing Microsoft Azure, the support team takes time—it could be 24 to 48 hours—to resolve them. We need solutions in four to five hours. And there are business-critical issues where we need an immediate resolution."
"The authentication method only allows me to have up to 90 users, and there are 2,300 people in the company."
"The integration pipeline could be a bit more broad in terms of applications."
"I would like to see Internet content filtering included."
"I would like to see all of the cloud providers be more compatible with each other."
"The solution must improve its pricing."
Amazon AWS is ranked 2nd in Infrastructure as a Service Clouds (IaaS) with 250 reviews while Microsoft Azure is ranked 1st in Infrastructure as a Service Clouds (IaaS) with 299 reviews. Amazon AWS is rated 8.4, while Microsoft Azure 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 Microsoft Azure writes "Promotes clear, logical structures preventing impractical configurations and offers seamless integration ". Amazon AWS is most compared with Linode, OpenShift, SAP Cloud Platform, Oracle Cloud Infrastructure (OCI) and Pivotal Cloud Foundry, whereas Microsoft Azure is most compared with Oracle Cloud Infrastructure (OCI), Google Firebase, Pivotal Cloud Foundry, SAP Cloud Platform and Alibaba Cloud. See our Amazon AWS vs. Microsoft Azure report.
See our list of best Infrastructure as a Service Clouds (IaaS) vendors and best PaaS Clouds 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.