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.
"We use AWS for multiple purposes, such as developing APIs and API integration using API Gateway. We use API Gateway, Python Combinator, Lambda Glue, and ETL Process. We have used EMR for big data processing. If we need a tool for computing, we go with the Lamda DMS. There are many services available in AWS that meet our needs."
"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."
"It's a very flexible and customizable service"
"User friendly solution."
"The most useful feature of Amazon AWS is it can be accessed from anywhere."
"It integrates well."
"The initial implementation process is not difficult or complex."
"This solution is a good option if you are looking for cloud-based storage. Using a cloud-based solution, it is not required to accommodate a full workload. You can start with a basic version and scale up as needed."
"SQL Server has been most beneficial for our client’s workload."
"Kubernetes service and API management are the most valuable."
"It is a scalable solution. Scalability-wise, I rate the solution a ten out of ten."
"Technical support has been extremely helpful."
"Active Directory is a good feature. The infrastructure features that Azure provides are also good."
"Azure offers broad compatibility with both structured and unstructured data. For example, we use PostgreSQL for storing Azure's official data and manage various types of data, including tabular and image data, accommodating the storage of all data types we handle. So, in many ways, Azure simplified the data storage and management needs."
"The most valuable feature of this solution is the ease of use."
"Azure is a good networking solution from a WAN perspective."
"In the next release, I would like to see better pricing."
"Price can always be cheaper."
"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."
"The interface needs a bit of work. It's not intuitive."
"The solution is pretty mature."
"I would like to see CloudFormation made more in the programming way of thinking."
"An easier way to determine estimated costs quickly would be helpful."
"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."
"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."
"They need to make storage easy and offer more interconnectivity between solutions."
"It should have cost optimization tools. Customers are required to use third-party applications to avoid usage complications."
"At this point, the latency is too high to use Azure in our production environment."
"I would want Microsoft Azure to provide some credits that can be used to test and validate Microsoft’s different solutions since it is an area where the product lacks."
"It is constantly updating. There are weekly releases, sometimes daily releases, and there should be fewer that are consolidated into one."
"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."
"I haven't checked the console for some time, however, compared to the AWS console, the interaction console of the web part, the web services, it's not so easy."
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 298 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 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.