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."It's the most engineer-friendly product compared to Amazon AWS or Azure."
"Everything is simple and useful. The initial setup is not challenging."
"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 most valuable feature is auto-scaling."
"The main motive for choosing Google Compute Engine is pricing."
"The support for ephemeral instances has been particularly valuable for me. It allows me to significantly reduce costs for temporary virtual machines by automatically destroying them once they are no longer needed, which can result in cost savings of up to 90 percent. Additionally, the solution is easy to use."
"The solution is readily available, and software engineers can provision it. It is scalable and allows self-service."
"The initial setup is reasonably straightforward. It's a handful of networks and a handful of computers."
"Microsoft Azure is scalable."
"The most valuable aspect of this solution is its ease of use."
"It is a very straightforward solution that provides a wide range of services."
"Azure is a good networking solution from a WAN perspective."
"It's a flexible solution."
"The most valuable features of the solution are ease of use and the enhancements are continually being updated."
"It was easy to deploy our applications on it."
"The robust encryption services increase the confidence of tech users."
"Google Compute Engine needs to have multi-region support. It would also be nice to have a tracking mechanism."
"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."
"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."
"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."
"The licensing process is not a very straightforward process."
"I rate the product's stability around five to six out of ten."
"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."
"There have been instances when a customer has tried to deploy a certain number of VMs inside a project, and they come across quota issues."
"They should create integrations with more platforms."
"From a security perspective, there is always something that can be improved as we serve our customers."
"It can be cheaper, which might simplify things a bit."
"Quite an expensive solution."
"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."
"The solution’s learning curve could be improved."
"The level of authorization or authorization cascading can be improved. We have the most powerful admins and then we have sub-admins, but the level of authorization is not that easy to handle or manage."
"Security could be better. Once there was an attack, and we couldn't get to the cloud to see the reports for about five hours."
Google Compute Engine is ranked 11th 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, Oracle Cloud Infrastructure (OCI), IBM Public Cloud and Amazon AWS, whereas Microsoft Azure is most compared with Google Firebase, Amazon AWS, Oracle Cloud Infrastructure (OCI), Pivotal Cloud Foundry and SAP Cloud Platform. See our Google Compute Engine vs. Microsoft Azure report.
See our list of best Infrastructure as a Service Clouds (IaaS) 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.