Try our new research platform with insights from 80,000+ expert users

Google Compute Engine vs Microsoft Azure comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 16, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Google Compute Engine
Ranking in Infrastructure as a Service Clouds (IaaS)
10th
Average Rating
8.8
Reviews Sentiment
7.0
Number of Reviews
16
Ranking in other categories
No ranking in other categories
Microsoft Azure
Ranking in Infrastructure as a Service Clouds (IaaS)
1st
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
312
Ranking in other categories
PaaS Clouds (1st)
 

Mindshare comparison

As of February 2025, in the Infrastructure as a Service Clouds (IaaS) category, the mindshare of Google Compute Engine is 0.5%, up from 0.2% compared to the previous year. The mindshare of Microsoft Azure is 19.3%, up from 19.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Infrastructure as a Service Clouds (IaaS)
 

Featured Reviews

Arundeep Veerabhadraiah - PeerSpot reviewer
A highly scalable and seamless platform which is easily automated
One of GCE's best features is the managed instance groups. We typically use managed instance groups for high availability. You can set certain parameters for managed instance groups where if the load of the computer or server increases beyond 80%, for example, the solution will automatically spawn another instance, and the load will be automatically divided between two systems. If the load is 80% of one of the VMs or GCEs, once the load is divided, it comes down to 40%, so the availability of your systems goes up. However, that all depends on the parameters or configurations we put on the instance group. You also have regular health checks on these managed instance groups, which are configurable. If these health checks determine something wrong with the VM, they will automatically kick off or spawn a new GCE instance. This way, the outage time is less. Previously, on-premises, unless somebody reported the issue to the helpdesk saying that a particular service was unavailable, then a support team would need to troubleshoot what went wrong, which takes a long time. At least 30 minutes to one hour. But by using these managed instance groups, we can reduce the outage time, and second, we can configure them with minimal resources, bringing down our cost. And if the load increases, the managed instance groups automatically respond to new things. Subsequently, our costs decrease. We have a wide range of VMs. There are general-purpose VMs that can be used for hosting general-purpose applications. If some of our applications are memory intensive, then we have a lot of VMs in the M1 series. We can use a range of memory-optimized VMs for these things. We have C-series VMs for compute-intensive applications. If we use some mathematical formulas and require a very high throughput from that, there are GPU-optimized VMs used for machine learning or 3D visualizations in rendering software. GPU-enabled VMs are pretty powerful and responsive. Again, the best part is that we can spin them up when we need them, and once we're done with our work, we can shut them down, allowing tremendous cost savings for any customer. Previously, if we wanted a very high-configuration VM, we had to own the entire hardware and have it on our on-prem data center. And once we'd done with a particular activity, the system would just be lying there on our premises. That is not the case now. We use and decommission it, so we're only billed for the time we're using the product. One of the best things is the preemptible VMs or Spot VMs. These are the cheapest VMs in Google Cloud, but it has a string attached to it where Google can shut down these VMs whenever Google teams split. You only get about 90 seconds notice before they shut down this particular VM. There are scenarios where customers can use these preemptible VMs, for example, when running a batch job. Batch jobs are run once or twice daily, depending on the customer's requirement. Once we are done running these batches, we can decommission the VM. Even if, in the middle of this batch job, Google shuts down these VMs, we can pick up the processing from wherever the VM left off. These are some of the beautiful things we have on Google Cloud concerning the Compute Engine.
Nicolas Chabrier - PeerSpot reviewer
Promotes clear, logical structures preventing impractical configurations and offers seamless integration
The only thing is regarding the management of multi-cloud environments. That's not really possible. So basically, it's wonderful if you manage Microsoft clearly and if you manage Microsoft Azure, but if you need to consume external services and have a global overview of all your consumption, it's not the case. Google, for instance, has tools that help you manage multiple environments, which makes sense because Google is really the cloud provider. So that's why they need to be compliant with the others. But for sure, Microsoft's approach is different, and it's wonderful when you're one hundred percent on Azure. But if you'd like to have something more of a multi-cloud strategy, that's a bit of a gap where they could improve.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The main motive for choosing Google Compute Engine is pricing."
"It's the most engineer-friendly product compared to Amazon AWS or Azure."
"Google Compute is highly scalable."
"The solution is readily available, and software engineers can provision it. It is scalable and allows self-service."
"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."
"Everything is simple and useful. The initial setup is not challenging."
"The overall product rating is nine out of ten."
"The technical support has been excellent."
"Data analytics is one of the efficient features as well."
"The solution has proven to be quite stable so far."
"Technical support has been good over the years."
"Reduces work for our IT teams and saves us a lot of time."
"Microsoft Azure is a very dynamic cloud service that allows you to migrate your workload, applications, and data."
"The monitoring features are very good."
"Offers many data security features including securing network access."
 

Cons

"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."
"I rate the product's stability around five to six out of ten."
"Google has a lack of focus on their products."
"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."
"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."
"Google Compute Engine needs to have multi-region support. It would also be nice to have a tracking mechanism."
"It is not very user-friendly for non-experienced users"
"The solution's initial setup was a bit complex in the beginning."
"Azure does not handle scalability as well as its competitors. Sometimes a 10 percent increase in a server with 20 percent of CPU usage pushes the server up to 100 percent load, and you start having performance issues."
"The customer support can become pricey at times if you don't have proper plans."
"There is a need to be better on-premise solutions that are more helpful. However, I don't think that is the goal of Microsoft Azure. They want the solution to be secure cloud solutions with cloud applications. This is their main goal at the moment."
"Microsoft Azure can be pretty advanced and difficult to understand. I would like it to be simplified. The licensing especially needs to be simplified."
"They're already doing quite a bit. I'm not unsatisfied with anything that they're doing right now. They can maybe make the transitions a little smoother and improve its pricing. The pricing for the end-user packages is a bit high."
"Azure installation is complicated. When we first deployed Azure, it was challenging."
"I would like to see it more easily accessible."
 

Pricing and Cost Advice

"Google is providing money for learning Google Compute Engine. They offer a $300 free trial to new customers. Any beginner can easily get started."
"I rate GCE's pricing a five out of ten since it's affordable."
"Google Compute Engine is not the least expensive solution. Microsoft Azure, and Microsoft One, are offering a less expensive solution. The price is based on usage. Whenever we use it, we have to pay for only usage. It is a pay-as-you-go model."
"Google Compute Engine's pricing is flexible and the best of all other alternatives."
"It's $60,000 to $70,000 a month to replace about $10,000 a month in data center costs."
"The tool is reasonably priced, considering its scalability features. If we want to extend the server's capacity, we can do it, and I think it's reasonable."
"In terms of improvement, one is definitely the licensing piece. So there is a feature, the BYOL (Bring Your Own License) licensing piece, to bring your own license. It is not that straightforward. It requires some support from Google to get it sorted, access those licenses, and configure those licenses."
"We pay yearly for the license."
"The pricing of the solution could be reduced. We are not able to create a free account in my country."
"It is affordable, but its subscription price could be cheaper."
"Licensing fees are paid monthly."
"Reducing the price would be of benefit to our customers."
"The price of the solution could be cheaper."
"The cost is something that could be improved."
"The monthly costs become very reasonable because of the discounts you get on longer reserved instances."
report
Use our free recommendation engine to learn which Infrastructure as a Service Clouds (IaaS) solutions are best for your needs.
837,501 professionals have used our research since 2012.
 

Comparison Review

it_user8586 - PeerSpot reviewer
Aug 14, 2013
Amazon vs Rackspace vs Microsoft vs Google: Cloud Hosting Services Comparison
Amazon Web Services, Rackspace OpenStack, Microsoft Windows Azure and Google are the major cloud hosting and storage service providers. Athough Amazon is top of them and is oldest in cloud market, Rackspace, Microsoft and Google are giving tough competition to each other and to Amazon also for…
 

Top Industries

By visitors reading reviews
Manufacturing Company
18%
Computer Software Company
18%
University
14%
Financial Services Firm
9%
Educational Organization
46%
Financial Services Firm
8%
Computer Software Company
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Google Compute Engine?
Everything is simple and useful. The initial setup is not challenging.
What is your experience regarding pricing and costs for Google Compute Engine?
Google resources are cheaper compared to AWS and Microsoft Azure. Among the three, Google is the cheapest option.
What needs improvement with Google Compute Engine?
Google has a lack of focus on their products. They have many products in various areas of the market, but they do not productize or appeal to the market effectively. They should concentrate on prod...
Which is preferable - IBM Public Cloud or Microsoft Azure?
IBM Public Cloud is IBM’s Platform-as-a-Service. It aims to provide organizations with a secure cloud environment to manage data and applications. One of the features we like is the cloud activity ...
Which is better - SAP Cloud Platform or Microsoft Azure?
One of the best features of SAP Cloud Platform is that it is web-based and you can log in from anywhere in the world. SAP Cloud Platform is suitable for companies of any size; it works well with bo...
How does Microsoft Azure compare to Google Firebase?
I would recommend Google Firebase instead of Microsoft Azure, simply for the array of features that it has to offer. In particular, the Firebase library grants you access to a shared data structure...
 

Also Known As

No data available
Windows Azure, Azure, MS Azure
 

Overview

 

Sample Customers

Allthecooks, BetterCloud, Bluecore, Cosentry, Evite, Ezakus, HTC, Infectious Media, iStreamPlanet, Mendelics, SageMathCloud, Sedex, Treeptik, Wibigoo, Wix, zulily, Zync
BMW, Toyota, easyJet, NBC Sports, HarperCollins, Aviva, TalkTalk Business, Avanade, and Telenor.
Find out what your peers are saying about Google Compute Engine vs. Microsoft Azure and other solutions. Updated: January 2025.
837,501 professionals have used our research since 2012.