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.
"Setting up AWS was pretty easy. It was straightforward to set up, and it took us a year to develop and migrate our mobile banking solution to the AWS cloud. Our migration experience was quite positive."
"The documentation is very good."
"I am happy with the dashboard."
"Amazon AWS is user-friendly and intuitive."
"Amazon for DevOps is fantastic. Amazon has fast clouds, and the process and the Dev is very good."
"It's a very flexible and customizable service"
"One of the most valuable features is that Amazon AWS has a lot of data centers and regions where we can position our virtual machines for leverage. Amazon AWS is also easy to use. You can quickly spin up something, use Explorer, building proofs of concept, things like that. Once the proof of concept is built once and we know how things are going to look from a production perspective, we try to move everything to the data centers. These features and the ease of use are the main reasons why we use AWS."
"I especially like the flexibility and scalability of the solution."
"I have not had a problem with the stability. It is reliable."
"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."
"The cycle development time is pretty fast, and there's very good coupling within the whole set of Microsoft tools, from database to the ETL engine, ingestion through Azure Data Factory, then modeling Synapse Analytics, and reporting through Power BI."
"We find that it is easy to integrate with other Microsoft technologies such as Microsoft Office."
"We use the cognitive service, virtual machines, and customer DB. Microsoft Azure is also scalable and easy to install."
"The tool's most valuable features are SQL servers and Managed Instance databases."
"I think the most useful feature has been the remote desktop. It has been very helpful when customers have old applications that are not architected to run remotely."
"In terms of managing and configuring infrastructures, Azure is fairly good."
"The solution could offer better integration capabilities."
"If Amazon AWS can offer more self-paced learning tools, on their website, on CBT, it'll be easier for more people to familiarize themselves with their service. Especially when they are delivering new services from time to time. Educational tools that can help users familiarize themselves with their service. It would be great."
"The price could be better."
"The price needs improvement."
"Customer access to APIs is limited so that logs cannot be checked properly."
"The solution could always be further improved on the commercial side of things. Amazon Web Services are not cheap. It would be ideal if it was less expensive for the customer."
"It is difficult to hand over legacy applications when migrating them to the cloud."
"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."
"While integrating services from different vendors, the perceived costs are high, with occasional confusion about specific charges, especially in data transfer scenarios between regions."
"I think Azure Active Directory and also the backup solutions provided in Azure need to be improved by Microsoft. The backup solution is not a very enterprise solution, and it is very simple. I think in comparison with other backup solutions like Nakivo and Veeam Backup, it can be improved to have a lot of options."
"We need more customization and support for doing so."
"Microsoft Azure could improve by having more virtual machine operating systems available."
"I think it would be good to keep making progress on giving users the ability to do action calls on Data Factory. Right now, it's mostly local. Perhaps Microsoft could add the ability to put some calls in the workflow."
"I would like to see the console improved."
"The technical support is good, but the response time is poor."
"More expensive than other solutions without justification."
Amazon AWS is ranked 1st in Infrastructure as a Service Clouds (IaaS) with 26 reviews while Microsoft Azure is ranked 2nd in Infrastructure as a Service Clouds (IaaS) with 40 reviews. Amazon AWS is rated 8.4, while Microsoft Azure is rated 8.4. The top reviewer of Amazon AWS writes "Offers integrated services and quickly spin up and shut down applications using EC2". 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 OpenShift. 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.