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.
"In general, Amazon's performance is good."
"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."
"The whole solution is well designed and AWS has decent documentation, which is not to be taken for granted. I've also found that AWS is easy to use."
"AWS has large community support."
"The most valuable features are load balancers, databases, and S3 buckets."
"The scalability is a valuable feature."
"I like the auto-scaling functionality and compliance requirements, whichever they are requesting."
"The product is nice and stable. Its performance is great."
"Easy to deploy services"
"The pricing is quite good, and it is designed as pay-per-use."
"It very quickly provisions servers, infrastructure, and apps on the fly and complies with security requirements and data safety."
"The main benefit of Microsoft Azure is that it is cloud-based. We are using Microsoft Visual Studio for our code and it is tightly integrated with Microsoft Azure. Additionally, the solution is user-friendly."
"The solution has proven to be quite stable so far."
"I have found all the features to be good."
"The solution is very stable for Windows setups."
"The data factory feature."
"They're really good on the business computing side, but there are other services where they can do really well. They can improve the data analytics platform and the data warehousing platform."
"Amazon AWS would be improved if it were more stable and if customer support's responses were faster."
"In future releases, I would like to see more automation."
"Our API Management solution is integrated with Lambda, and last year, we had an issue while upgrading Lambda from version 8.0 to version 10. It seemed like Lambda runtime was changed by AWS, and there was a bug that caused the downtime. The loading of the dashboard is slow. It could be because I am located in China."
"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."
"Amazon AWS could improve by being more secure and adding more features."
"It would be ideal if they could provide automatic health reports. That way, I would be able to understand at a glance the state of my services at any given time."
"Monitoring still needs to be improved."
"From a security perspective, it could be improved."
"Use of the solution could be easier."
"We need more customization and support for doing so."
"Technical support could be improved."
"Azure installation is complicated. When we first deployed Azure, it was challenging."
"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."
"For deploying multiple resources in a big number, such as in hundreds, we need a streamlined process and more user-friendly scrips. The scripts have to be more user-friendly, and they should also supply some standard templates to deploy multiple resources at a time. Currently, it is very easy to deploy a couple of resources, but if you want to deploy multiple resources, it becomes complex. The material that they provide for integration with an existing on-prem data center is complex. They have to make them user-friendly. The scripts related to resource management need to be simplified."
"Monitoring options should be more sophisticated, as there are dashboards on which a end user is able to pin a lot of charts and a number of web parts, but for example, I would love to have some option like in Operational Management Suite."
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.