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.
"The most valuable feature of the solution is that they offer everything around in just one platform."
"It is easy to use."
"Easy to access and secure, two important features."
"It has many choices of computer options, storage options, and even database options."
"They release new solutions almost every quarter and you don't get that kind of innovation from an enterprise company."
"Very good automation and very stable."
"One of the most valuable things about it, besides the stability, is that you can forget about infrastructure because you're just doing it on AWS. I remember the times before AWS and other cloud solutions existed, and it was a huge pain to get real hardware, put it inside, configure everything, report everything, and do a scale. It was very, very difficult compared to how it is now. Not even just AWS, but what all these cloud providers are doing, I would say, is a huge advancement in technology."
"I like S3, load balancers, and Route 53."
"The most valuable feature of this solution is the ease of use."
"User interface and portal are great."
"I like the familiarity of this solution."
"It is easy to use. It is also stable."
"Microsoft Azure is built for scalability."
"There are plenty of functions available that we have used extensively. It is a complete platform of services."
"We are satisfied with the technical support."
"Microsoft Azure has a lot of useful features. They have databases, application services, PaaS solutions, such as platform and infrastructure services. The virtual machines' functions and services are good."
"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."
"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."
"Requires better integration with other cloud products."
"I have been using Amazon AWS for approximately one year."
"Amazon tools are for more mature DevOps. The process and the Dev is very good, but it doesn't compare to the ease of using the Google Cloud Platform."
"It could be made cheaper. I know we spend a lot of money each month on AWS."
"There was some new learning in terms of IOPS on the EBS storage. The concept of burstable IOPS was new and we did have a few outages when we ran out of IOPS."
"Compared with other cloud solution providers, Microsoft is not good at local support."
"Integration with more platforms needs improvement."
"The subscriptions are complicated."
"The management portal can be confusing sometimes. We have difficulty navigating the menus because the terminology is unclear, especially when referring to the content or actionable items."
"A good strategy would be to include a feature for integrating with external ecosystems."
"There was a time when the solution was updated on their side and all of our functions stopped working. This issue could be worked on to prevent it from happening in the future. They must give us the information of when they are going to updates on the platform side so that we can take the appropriate measures on our side as well."
"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 technical support is good, but the response time is poor."
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 Google Firebase, Oracle Cloud Infrastructure (OCI), 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.