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."The main motive for choosing Google Compute Engine is pricing."
"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."
"From a feature perspective, I find API integration, automation capabilities, and features like preemptive and Spot instances valuable. Migration tools have also been useful."
"One of GCE's best features is the managed instance groups."
"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."
"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."
"Azure services like EDM and Batch are all famous, but one of the most popular services for development is Azure Functions, especially the PaaS option. Depending on a customer's environment, they can go for the PaaS."
"Microsoft Azure has been easy to use in my experience."
"The most valuable features of Azure for me are its ease of management, recoverable virtual machines with backup support, excellent customer support, and user-friendly interface."
"The ability to scale down is a big thing."
"If you're interested in going with Microsoft, my advice would be to do it. Everybody's using Microsoft."
"The stability is very good. The performance is excellent."
"The product has been very stable for us so far."
"It's very scalable. We can scale up to 80-85% without issues."
"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."
"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."
"I rate the product's stability around five to six out of ten."
"Google Compute Engine needs to have multi-region support. It would also be nice to have a tracking mechanism."
"The licensing process is not a very straightforward process."
"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."
"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."
"The response time and stability of Microsoft Azure need to be improved."
"The installation process is complex."
"The solution must improve its pricing."
"The subscriptions are complicated."
"There were also a lot of constraints with the serverless parts."
"Compared with other cloud solution providers, Microsoft is not good at local support."
"I don't understand why we spend so much time and money on Azure when Microsoft relies on third-party companies for support in the CSP model. I don't know how the support model works within Microsoft, but giving it to poor-performing third-party companies is not ideal."
"The solution should improve the shared cache. For the shared cache, Microsoft uses RADIUS third-party services. We have a lot of trouble with RADIUS and I suppose that is due to the fact that is not owned completely by Microsoft."
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 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.
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.