We performed a comparison between Google Compute Engine and Microsoft Azure based on real PeerSpot user reviews.
Find out in this report how the two Infrastructure as a Service Clouds (IaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."From a feature perspective, I find API integration, automation capabilities, and features like preemptive and Spot instances valuable. Migration tools have also been useful."
"The initial setup is reasonably straightforward. It's a handful of networks and a handful of computers."
"The solution is readily available, and software engineers can provision it. It is scalable and allows self-service."
"Everything is simple and useful. The initial setup is not challenging."
"The solution helps to direct SSH into the machine at the click of a button. It also helps to deploy container images right from the UI. There is no need to manage the containers on the machine. I also like the tool’s Spot provision model."
"The most valuable feature is auto-scaling."
"The main motive for choosing Google Compute Engine is pricing."
"Google is managing all hardware. You don't need to provision or pre-provision your computer engine."
"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."
"We are using Microsoft Azure because our organization uses a lot of Microsoft solutions. We have used Microsoft technology for a long time and we have internal engineers with great capability that understand the technology. This is why Azure is the best for us."
"Managed storage capabilities, which create a very simple way to create, copy, and replicate local or geo-replicate, it's very simple to assign workloads."
"Much more intuitive and more visual than AWS. More obvious where things are and how to change their configurations, etc."
"Some features of Azure are very important for us. You can control access for your company, it's not complicated managing the solution either. I think the solution is very stable, secure and the documentation Microsoft has on their website is complete. You can use it to find the solution's problems or implement solutions."
"The solution is stable."
"Compute (App service, and virtual machine scale sets): The ability to manage Windows and Linus virtual machines."
"Microsoft has a lot of partners in this area, and they have a lot of information available online, so it's easy to get support."
"The licensing process is not a very straightforward process."
"Google Compute Engine needs to have multi-region support. It would also be nice to have a tracking mechanism."
"It would be better if there was an option to change the background. Like in Gmail, there's an option to change your theme."
"It has some limitations. For example, you don't get through layer two connectivity. So I've had some difficulty deploying custom VMs. For example, you can't deploy a KVM file to file directly on GCP."
"Google Compute Engine does not have many options at a lower tier level. If they had more options it will be better. For example, Amazon AWS or Microsoft Azure, have more options and different types of instances, of VMs we can select."
"I would like to improve the solution’s UI while deploying a container. It is sometimes hard to figure out the container’s details and format that you want to deploy. The tool does not give you a guide to find out the error and why the container is not starting up which could be because you have configured it wrong. This is always a hit on the setup."
"It is not very user-friendly for non-experienced users"
"The biggest problem is that it's got a very archaean and complex security environment that has to be very carefully set up and is easy to break."
"There was a time when the solution was updated on their side and all of our functions stopped working. This issue could be worked on to prevent it from happening in the future. They must give us the information of when they are going to updates on the platform side so that we can take the appropriate measures on our side as well."
"The local support is fair but it is sometimes limited, the service could be better."
"The support team is not responding to my emails."
"Technical support needs improvement."
"We like that they have the new capabilities, but sometimes they're deprecating capabilities faster than we can handle. If we had to improve it, we would want to stay on some of these older capabilities a bit longer."
"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 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."
"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."
Google Compute Engine is ranked 10th in Infrastructure as a Service Clouds (IaaS) with 13 reviews while Microsoft Azure is ranked 1st in Infrastructure as a Service Clouds (IaaS) with 299 reviews. Google Compute Engine is rated 8.8, while Microsoft Azure is rated 8.4. The top reviewer of Google Compute Engine writes "A cost-effective and quite an elastic solution ". On the other hand, the top reviewer of Microsoft Azure writes "Promotes clear, logical structures preventing impractical configurations and offers seamless integration ". Google Compute Engine is most compared with Google App Engine and Oracle Cloud Infrastructure (OCI), whereas Microsoft Azure is most compared with Google Firebase, Amazon AWS, Oracle Cloud Infrastructure (OCI), Alibaba Cloud and Pivotal Cloud Foundry. See our Google Compute Engine vs. Microsoft Azure report.
See our list of best Infrastructure as a Service Clouds (IaaS) vendors.
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