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Alibaba Cloud vs Google Compute Engine 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

Alibaba Cloud
Ranking in Infrastructure as a Service Clouds (IaaS)
7th
Average Rating
7.4
Reviews Sentiment
6.7
Number of Reviews
19
Ranking in other categories
No ranking in other categories
Google Compute Engine
Ranking in Infrastructure as a Service Clouds (IaaS)
13th
Average Rating
8.8
Reviews Sentiment
7.0
Number of Reviews
16
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Infrastructure as a Service Clouds (IaaS) category, the mindshare of Alibaba Cloud is 12.0%, up from 8.0% compared to the previous year. The mindshare of Google Compute Engine is 1.0%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Infrastructure as a Service Clouds (IaaS) Market Share Distribution
ProductMarket Share (%)
Alibaba Cloud12.0%
Google Compute Engine1.0%
Other87.0%
Infrastructure as a Service Clouds (IaaS)
 

Featured Reviews

Min HtetOo - PeerSpot reviewer
The solution is useful for application development, but the user interface and user experience must be improved
The product must be made easier to use. The design is a bit tricky. When we log in to the Alibaba Cloud Marketplace and browse products, they look very small. The user experience must be improved. Alibaba Cloud must increase its partner network and brand awareness in our country. It will give our customers more opportunities to scale and save in the long run.
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.

Quotes from Members

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

Pros

"It's easy to use, cheaper than other solutions, and more secure."
"It is easy to set up."
"Alibaba Cloud allows for easy setup of mirror sites and backup servers, ensuring data redundancy and high availability."
"It is a scalable product. So, scaling up or scaling down is possible."
"Feature-wise, it provides many features. ECS, VM, SP, bucket object storage, and databases are the most valuable."
"The most valuable feature of Alibaba Cloud is the communication it allows between two servers."
"ECS is the most valuable feature of the solution."
"Flexibility and costs were probably the most important thing for us. The cost was one of the big factors for choosing Alibaba Cloud relative to other cloud solutions, especially in Asia"
"I recommend the tool to others since it has high availability features, scalability, and stability."
"The overall product rating is nine out of ten."
"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 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."
"The initial setup is reasonably straightforward. It's a handful of networks and a handful of computers."
"The main motive for choosing Google Compute Engine is pricing."
 

Cons

"Users use websites as a tutorial. However, the Alibaba Cloud website has the content, and the scripts are copied from Amazon Web Services. We had received customer feedback where the customer asked us to get formulate original content instead of copying from Amazon Web Services. It’s very odd and awkward."
"The solution’s user interface could be improved."
"Alibaba Cloud has some problems related to latency and connection issues. If you go for a cloud solution provider, you will need to access the Internet, which may result in latency and bandwidth issues, leading to slowness in operations."
"The solution needs to improve its graphical user interface."
"The solution should have more integration."
"It is not robust."
"From a performance point of view, Huawei and Azure are faster. Alibaba isn't as good."
"The user experience must be improved."
"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."
"Google has a lack of focus on their products."
"The high availability features in Google are only available in Google Compute Engine in different regions. If I have another server outside Google, the high availability features in Google cannot synchronize with such a server."
"It would be better if there was an option to change the background. Like in Gmail, there's an option to change your theme."
"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 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."
"The licensing process is not a very straightforward process."
 

Pricing and Cost Advice

"The product is not that expensive."
"The cost of Alibaba Cloud is lower than that of AWS, but I feel that its price is on the higher end of the spectrum. Alibaba Cloud charges its users a price in dollars"
"I don't know the exact cost. It is cheaper than AWS."
"We cut our costs significantly by migrating our infrastructure to the cloud. Alibaba Cloud employs a pay-as-you-go model, so that minimizes many costs for us."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing a three out of ten."
"The cost is better than similar solutions."
"The solution's pricing is the same as AWS'."
"The price of Alibaba Cloud is good. If I was to use Microsoft Azure I would have to pay 30 percent more."
"I rate GCE's pricing a five out of ten since it's affordable."
"Google Compute Engine's pricing is flexible and the best of all other alternatives."
"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."
"It's $60,000 to $70,000 a month to replace about $10,000 a month in data center costs."
"Google is providing money for learning Google Compute Engine. They offer a $300 free trial to new customers. Any beginner can easily get started."
"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."
"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."
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Top Industries

By visitors reading reviews
Manufacturing Company
12%
Computer Software Company
12%
Financial Services Firm
9%
University
7%
Manufacturing Company
25%
Computer Software Company
8%
Performing Arts
7%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise3
Large Enterprise7
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise4
Large Enterprise7
 

Questions from the Community

What do you like most about Alibaba Cloud?
ECS is the most valuable feature of the solution.
What is your experience regarding pricing and costs for Alibaba Cloud?
On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing a three out of ten.
What needs improvement with Alibaba Cloud?
Alibaba Cloud needs to improve emails. Its pricing can also be lower. Regarding security issues, Alibaba Cloud is more complex and better suited for developers and R&D teams. On the other hand,...
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...
 

Overview

 

Sample Customers

Schneider Electric, BorderX Lab, Royal Philips, Catchpoint, Conversant, Blogmint
Allthecooks, BetterCloud, Bluecore, Cosentry, Evite, Ezakus, HTC, Infectious Media, iStreamPlanet, Mendelics, SageMathCloud, Sedex, Treeptik, Wibigoo, Wix, zulily, Zync
Find out what your peers are saying about Alibaba Cloud vs. Google Compute Engine and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.