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 has helped reduce the cost by rationing the computing power and paying only on a per usage basis, instead of provisioning unneeded, idle, or unutilized computing power that is used only at 20% of its capacity or time."
"You can build and release applications quickly with AWS instead of waiting for months to get the necessary hardware. That's the real benefit. The time-to-market for developing applications is much shorter."
"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."
"It scales extremely well."
"Amazon for DevOps is fantastic. Amazon has fast clouds, and the process and the Dev is very good."
"The most valuable features of Amazon AWS are the high level of capabilities, cloud-native environment, developer-friendly, intuitive interface, and automation. The solution overall is easy to learn from the resources available."
"The documentation is very good."
"It scales well and is flexible."
"It's very scalable. We can scale up to 80-85% without issues."
"The scalability is good."
"Its scalability is valuable. Depending on our requirements, we can add as many virtual machines as we want. We are able to get high availability for services. Services are always available, and they have the maximum uptime. If there is any issue with one of the services, another service is always available. It is pay-as-you-go. You don't have to spend any money upfront. You use the service and pay after one month or a couple of hours of use."
"We have found the scalability to be good."
"The most valuable feature is the virtual machine."
"The ability to scale down is a big thing."
"Everything is very good by way of performance."
"We have not had any issues with the performance, or the stability."
"The price needs improvement."
"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."
"We would appreciate it if the product was cheaper."
"I'm not an expert on the product, but if I had to suggest one improvement, I know a feature that would allow a person to backup his on-premise solution to the cloud directly with one click would be useful. This solution should be agnostic because sometimes a product that was backed up with Veeam is highly compatible with Commvault. I think it would be better if these backup features were agnostic. Viewing a build could also be improved. It's not easy to follow up on your consumption and see how much you're paying and how much you will be paying. Viewing the build could be more clear."
"The price could be better."
"Its price should be lower. The price for in-house usage should be different from production usage."
"The dashboard can be improved a little bit to provide more information."
"The pricing is something you have to watch. You really have to constantly optimize your costs for instances and things like that. That can become a job in itself to manage just from a budgeting standpoint."
"We have reported some bugs we encountered, and it would be good if those bugs were resolved more quickly."
"With a Synapse environment, we might need to switch to Databricks for better scalability."
"I would like to see improved migration tools. It is improving week by week. They just need to make sure that they keep up with the new functionality provided in other clouds."
"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."
"The quality of some components of Microsoft Azure is not that great. For example, Microsoft has not fixed issues in Microsoft Teams for many years. There are well-known issues that are submitted by customers two years ago and they still are not fixed."
"Microsoft Azure could improve by having the availability be 100%. Which is difficult, but not impossible."
"The scalability could improve."
"I think better accelerators and better tools that can be used to migrate and leverage the existing models and data schemas are needed."
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.