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.
"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."
"As a service vendor, we have helped clients to achieve faster "go to market" on their products, and have provided highly flexible cost-effective system management solutions."
"Its scalability is powerful. We are providing services for people to schedule an appointment for the vaccine and for COVID testing to see whether they are positive or negative. In one night, we can have 240,000 people in one minute to schedule an appointment. I am very happy with the scalability."
"It's quite stable and scalable. The price is good as well."
"It is intuitive, easy to deploy, and rather quick to deploy and set up. There are a number of native services in the ecosystem. These services are built into the cloud and are mature enough to support you in many ways."
"The services that we are using have frequent updates, at least twice a year. They provide a new version that has more capabilities or features that fit our process and procedures."
"It's easy to manage. We can use a wide range of technologies with AWS."
"We use AWS for multiple purposes, such as developing APIs and API integration using API Gateway. We use API Gateway, Python Combinator, Lambda Glue, and ETL Process. We have used EMR for big data processing. If we need a tool for computing, we go with the Lamda DMS. There are many services available in AWS that meet our needs."
"The monitoring features are very good."
"The technical support has been good."
"The most valuable aspect of this solution is its ease of use."
"There are many useful features. We use web apps, so instead of starting a web server, we just have machines running some web services. This was helpful for us in terms of the scalability of the application. We also use Active Directory for authentication and some services for the data backup. It is a very good and reliable solution. It was easy to implement this solution. It fits very well into our plans and covers our needs to provide infrastructure in the cloud. The portal to configure new resources is very easy, and it is very easy to allocate new resources."
"The solution is similar to a plug-and-play system, it is easy to use."
"We are using Microsoft Azure because our organization uses a lot of Microsoft solutions. We have used Microsoft technology for a long time and we have internal engineers with great capability that understand the technology. This is why Azure is the best for us."
"Feedback and error messages make much more sense in Azure than in AWS."
"We can easily access and integrate data sources from other platforms."
"AWS should provide even more support and engagement to accelerate the adoption of new services and features."
"Amazon AWS could improve on security."
"Integration with in-house applications could be simplified."
"Some services that are not used often have poor quality and need to be improved."
"The solution could always be further improved on the commercial side of things. Amazon Web Services are not cheap. It would be ideal if it was less expensive for the customer."
"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."
"It just needs to be improved from the security perspective."
"A person with no AWS experience might find it overwhelming at first."
"There are times when using a service in Microsoft Azure can be confusing because you have four or five options that do similar operations. It would be helpful if there was a clear decision tree around those features. Microsoft does provide a lot of decision trees around a lot of their services, but it's not for everything."
"They are a bit closed on the customization side. If they open the customization then it will be very good."
"Microsoft Azure needs to be simplified to make it better understood for users."
"The solution needs to offer more data analysis services."
"We use Microsoft Server 2019 and 2016. And I didn't like the 2019 client, so we had to downgrade back to 2016. The main issue there was its monitoring system. Our client needed an alternative, and if they were using more Windows products, they also needed to make that downgrade."
"When we are doing transfers of records in large amounts, for example, petabytes of data or few long datasets, the performance should not degrade as it does."
"The pricing needs to be a bit lower. It's an expensive solution right now."
"Technical support is lacking right now. It needs to be better."
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.