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.
"Newly introduced features advance capabilities."
"We've built several AI ML solutions and done lots of work on the GPUs available on Amazon servers. We did a lot of work around web spidering, natural language processing, and machine learning or deep learning workloads."
"The solution offers easy provisioning and scaling on the fly."
"The installation is quite straightforward."
"AWS has a lot of flexibility, which is great."
"AWS's security model, including IAM or security groups, has contributed to our organization's compliance. It manages authentication, permissions, and overall security posture, which helps us maintain compliance."
"We found the solution to be reliable."
"I like that it helps us do everything really fast, and its advanced services."
"One of the most valuable features of Microsoft Azure is the compatibility with all of our Windows applications and other Microsoft technologies"
"We've found the solution to be extremely flexible."
"I think Azure's level of automation to achieve efficiency or agility is valuable. I also like the change capability cadence, the showback capabilities, and understanding what our costs are."
"Microsoft Azure has a lot of useful features. They have databases, application services, PaaS solutions, such as platform and infrastructure services. The virtual machines' functions and services are good."
"Some months ago, we started using Power BI embedded, which helped optimize the number of licenses for our company."
"The scalability is the most unique feature. Whenever our user count is high, and utilization of our application results in high use of resources, Microsoft Azure automatically scales our application so that users can access it without any issues or errors. Microsoft Azure gives you the flexibility to scale your applications up and down at any moment. It is quite easy and impressive."
"We can easily access and integrate data sources from other platforms."
"Azure is very flexible and easy to manage."
"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."
"It should be more secure and have more integrations."
"Scaling is an area that can be improved."
"They are mainly generalists without access to the operating system. As such, they can provide container level insights,not necessarily at the application level."
"IAM must be made simple and straightforward."
"Amazon needs to develop better tools for troubleshooting network traffic, application insights, performance, and even some aspects of integration mapping. I'm hoping AWS implements something like Azure's Network Watcher and a log analytics solution where a can pull logs from various services and present them in a single dashboard. I want to summarize the performance and usage of every service and application."
"They have a low code platform, but it is for intervention."
"The setup of the solution is not so easy, it requires various skills to complete it. The whole implementation can take a month."
"Integration with more platforms needs improvement."
"Microsoft Azure is not always a user-friendly solution. There are too many people who develop this solution. For the end-users, sometimes it's not really fun to use or simple to use. It could be improved."
"Its costing can be improved. There should be better cost management."
"Their backup strategy is a little complex which racks up the VM to other sole storage areas. This should be improved."
"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."
"Integration with other services could be much better."
"They should create integrations with more platforms."
"The tool needs to improve its navigation."
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.