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 installation and initial setup are easy."
"Technical support is quite helpful."
"Amazon has a much better understanding of the workflow of data scientists and machine learning processes. This is seen by their SageMaker which offers different versions of the models to be used."
"There is no downtime. The solution is reliable."
"The most valuable features are how stable and easy to use Amazon AWS is."
"Security, quick deployment, and scalability are the top three features for me."
"It streamlines tasks like table creation and data loading into Redshift, making the process more efficient and manageable."
"The reason I like AWS is that they have a large market share and a large presence. When it comes to our use case, a big positive is that MuleSoft and AWS are working together very well. So instead of competing against each other, they're meshing together."
"It's stable, easy to use, reliable, and cheap."
"The product is rather stable. We haven't had any issues with it in that sense."
"The product scales extremely well."
"The product has been quite stable."
"The solution is easy to use and flexible."
"It very quickly provisions servers, infrastructure, and apps on the fly and complies with security requirements and data safety."
"The most valuable features are the interface and customizability."
"I appreciate that everything is basically shift forward from a security standpoint."
"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."
"The interface could be improved."
"Setup is somewhat complex."
"It can be daunting because of the number of AWS products there are."
"The pricing structure can be improved and made more straightforward."
"It has the technical support features, but they need to be improved. It has lots of users, but they need to be managed accordingly."
"Recently we had a long conversation about functionality that is missing in Alexa — in Mexico, specifically. Alexa for Business is a service and platform that Americans can use to make a call to an Amazon Echo device or a telephone via the app. But in Mexico, we are not allowed to use that technology. This is a significant disadvantage of AWS for those living in Mexico."
"They currently have fewer regions in Asia, especially in India, China, and other places. They can maybe put more data centers in this region."
"It would be helpful if Azure provided more information on the various add-ons to give people an understanding of what they are used for, and how they're applied by other companies or businesses."
"The security must be improved."
"The security feature in the solution is an area that needs to be improved."
"It can be improved in terms of ease of billing or monitoring of the billing. That gets to be a little difficult."
"Its costing can be improved. There should be better cost management."
"As compared to AWS, Azure can improve its functionality. In terms of the feature list, it is still lacking a bit as compared to AWS. AWS supports lots of types of operating systems, which Azure is still catching up with. Azure is mainly focused on the Windows system, and it is not yet there in terms of integration with other operating systems like Linux, Unix. Azure is slowly catching up."
"In my opinion, what could be improved is making the actual costs more predictable. It is very difficult to estimate the cost or the budget you are going to need to run your environment in Azure Cloud. You have to be a specialist to understand how you will be charged, which constantly changes."
"Maybe Microsoft could improve its monitoring around the networking."
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.