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 scales extremely well."
"The most valuable feature is the backup ability. Most people are used to one type of backup solution that they're using, but most of these solutions have features that make it difficult to transfer to the cloud. I know that Veeam now gives people the opportunity to backup some on-premises solutions to the cloud. This feature is something that a lot of people are looking for."
"In general, Amazon's performance is good."
"User friendly solution."
"The best thing is scalability."
"The features that I have found most valuable are its cloud storage and compute services."
"Technical support has been great."
"The monitoring is the most valuable aspect of the product."
"The portal makes it easier to work with the solution."
"The performance is good."
"We validate customer videos and speech in real-time by utilizing language translation services and image processing. This involves converting speech to text and vice versa in real-time. Customers record videos where they speak predefined text. We capture the image and speech, convert it to text, and compare it with the standardized text."
"Technical support has been extremely helpful."
"The user interface is very good for administrators."
"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."
"We find Azure particularly beneficial when working with clients who are heavily invested in Microsoft solutions. It necessitates that we also leverage Azure for our solutions and services."
"The solution has enabled us to provide advanced indicators and analytics to the client on their data."
"I'd like to see integration with MySQL."
"One of the issues I'm facing is that my RDS SQL Server version 5.8 is reaching its end of life, and I need to upgrade it to a customer-wanted version. I want to do this on Graviton instances, but Graviton only starts with version 8.0 and currently doesn't support the 5.8 series. We've raised a Priority Feature Request (PFR) with AWS to have this functionality added for at least three months. This would give us enough time to upgrade our database to the 8.0 version without any issues."
"Monitoring still needs to be improved."
"The networking models used in AWS, while functional, do have room for improvement. This is especially the fact, considering that they are built/presented from a systems perspective."
"They should really consolidate and make things simpler rather than offer you hundreds of random options. The way everything is arranged really forces users to figure out everything on their own and then, on top of that, to calculate the total costs. There's an infinite number of combinations even just with cost calculations. It's just too much."
"AWS could be more scalable."
"As far as the automation is concerned, the backups should be scaled."
"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."
"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."
"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."
"The documentation can be outdated and is not as clear in Microsoft Azure as it is in AWS or Google."
"The only thing is regarding the management of multi-cloud environments. That's not really possible."
"The scalability could improve."
"The pricing in our region can be a bit high."
"They can add more documentation about the solution."
"The pricing needs to be a bit lower. It's an expensive solution right now."
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.