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.
"Scalability is one of the biggest benefits we have."
"I like that it's easy to use."
"The features that I have found most valuable are their compute and their Relational Database Service."
"The installation and initial setup are easy."
"Amazon is a really good solution with high performance. They offer more connectors than some of their competitors, such as Microsoft Azure."
"IaaS with easy management and rapid implementation using Python Django Mezzanine."
"We can spin up the server anytime and have root access to it."
"The stability of the solution is very good."
"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 very simple to set up."
"The most valuable feature is cloud-based storage."
"The most valuable feature is the instant availability of resources."
"Azure Data Lake is useful. We are in the process of populating the data lake for our current project. Also, we are directly importing for Power BI to using PowerPlay."
"One of the most valuable features of Azure is that it's a very integrated solution. You have to learn how to use it properly, but it's not that hard, and you can define your whole scrum process and deploy it from one place. It was a really nice surprise to see how easily integrated this tool is."
"It was very user-friendly when setting up the virtual machines and console. It was an easy task for my team to create virtual servers and start replications."
"The most valuable aspect of Azure is the flexibility you have for all the services and solutions it offers, even if you use IaaS, PaaS, or SaaS, you have the option to only pay for the services you use."
"Amazon AWS could be improved by lowering the general storage price."
"Monitoring still needs to be improved."
"AWS could be improved with more integration, but I can see that they're developing these features and working very hard on their platform."
"Requires better integration with other cloud products."
"The sorting model in AWS is a little bit complicated. When you are going through any component, you can get some surprising results."
"Its only cons are on the data warehouse side. AWS' data warehouse Redshift is not as good as it should be."
"In the next release, I would like to see better pricing."
"The customization could be improved."
"The pricing in our region can be a bit high."
"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 many bugs in the solutions and we already have a ticket to Microsoft. Their content team is working on that."
"Some of the capabilities available in an on-premise SQL Server aren't available in Azure. For instance, we found Azure Managed Instance to be lacking in certain aspects. One of our clients decided to stay on-premise rather than migrate to Azure because of this reason."
"Ideally, Microsoft Azure should be compatible with the applications that we are using in my environment."
"Auto ML could be improved technically."
"The solution’s learning curve could be improved."
"It could be more flexible. If you look at all Mircosoft products, they are not up to the mark. For example, Azure Ready doesn't provide the same kind of access a domain administrator has and the kind of flexibility that they have when using Active Directory. Microsoft support could be better. Their service could also be better. For example, specific policies for templates suddenly become unavailable. When I checked, they said that certain things might be withdrawn based on customer feedback. This happened once or twice, and it wasn't available at all for five days, it just went down."
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.