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Google Compute Engine vs Oracle Cloud Infrastructure (OCI) 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
Oracle Cloud Infrastructure...
Ranking in Infrastructure as a Service Clouds (IaaS)
3rd
Average Rating
7.8
Reviews Sentiment
6.9
Number of Reviews
94
Ranking in other categories
PaaS Clouds (4th), Container Registry (5th)
 

Mindshare comparison

As of April 2025, in the Infrastructure as a Service Clouds (IaaS) category, the mindshare of Google Compute Engine is 0.6%, up from 0.2% compared to the previous year. The mindshare of Oracle Cloud Infrastructure (OCI) is 8.5%, down from 11.3% 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.
PuneetKaura - PeerSpot reviewer
Suitable for OCI environment but needs to improve pricing
We haven’t had any problems with the setup of Oracle. The deployment will take less than seven to ten days since it can give good reports. For deployment, we first need to understand the customer requirements and build the architecture around the deployment. We have the customer sign off on it and then go into the software deployment side. This is the proper life cycle of how to do it in the enterprise space. There are a lot of thoughts around the initial way or how we need to structure and architect the environment. For enterprises, it is a complex process. It will take one to two months to have all the sign-offs before we can go into implementation. It is followed across all the installations. I rate the initial setup of the solution a ten out of ten.

Quotes from Members

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

Pros

"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 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."
"Google Compute is highly scalable."
"The most valuable feature is auto-scaling."
"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."
"In GCP, there's a custom configuration feature unlike AWS and Azure"
"Google is managing all hardware. You don't need to provision or pre-provision your computer engine."
"The product gives you independence from hardware onsite, the setup is easy, and there is no need for hardware maintenance."
"I haven't experienced any instability or downtime in Oracle Cloud over the past three years. It is scalable The support team was good. The initial setup is straightforward to configure. I rate the solution a nine out of ten with ten being the highest."
"I like having the ability to easily run Oracle Linux server instances and to deploy Oracle Middleware and WebLogic servers. Oracle's Infrastructure as a Service products are also very useful, and we're using those right now within Oracle OCI."
"The product's configuration is simple."
"The deployment is most valuable feature."
"The most valuable features of Oracle Cloud are the ease of navigation and stability. The solution is more feature-rich and powerful than these smaller alternatives."
"The environment is super fast so you get all the underlying machines behind the data. It's a good processing machine, especially in the Generation Two Cloud."
"The solution offers many features and it is a complete replica of our data center."
 

Cons

"Google has a lack of focus on their products."
"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 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."
"Sometimes support takes time to reply."
"It is not very user-friendly for non-experienced users"
"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 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."
"The solution's reporting part is not good and needs more development."
"The integration tools that they offer are quite complex to use."
"The product roadmap strategy for some of the products is not clear."
"I work with many clouds and I would say, in comparison, others have a better presentation of services and they have clearer steps in terms of implementation."
"The biggest challenge I'm having with the cloud offering is the sizing. So, pricing becomes difficult. The sizing challenge is in terms of being very clear on how your data growth or your requirements would be. It becomes a bit difficult to be able to ensure that there's enough future proofing in what you've signed. At the same time, the whole idea behind the cloud is to be able to pay for what you use. You don't want to pay for something that you're not using."
"Portability of the VMware environment into the Oracle Cloud should be made more simple."
"Technical support could be more responsive."
"The deployment from on-premises to the cloud is a bit complicated."
 

Pricing and Cost Advice

"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."
"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."
"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."
"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."
"It is cheaper as a solution model. It isn’t cheaper than SAP but offers more features and competition."
"There is an annual and a subscription option."
"The subscription is a pay-as-you-go model, with fees that are dependent on usage."
"Its pricing is complex, but as partners, we can get away with quite a bit of discounting because we deal with them directly. I would rate their pricing probably a one or two out of five because they're quite expensive. Microsoft Azure will probably be the cheapest because depending on the Microsoft product that you have, they have some sort of bundling. There are things that they give you to get you onto Azure. AWS is probably somewhere in the middle."
"Improvements can be made with respect to flexibility in the licensing model."
"The solution is cheaper compared to Oracle E-Business Suite."
"The solution is expensive according to services and competition. Also, it is not prevalent in the market. I rate the solution’s pricing a seven on a scale of ten, where ten is expensive, and one is cheap."
"Oracle Cloud Platform is a bit costly. You can always bring your own license or subscribe to the SaaS option, but the SaaS option is very costly. I rate the pricing a six out of ten."
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Top Industries

By visitors reading reviews
Manufacturing Company
23%
Computer Software Company
16%
University
9%
Financial Services Firm
9%
Computer Software Company
14%
Financial Services Firm
13%
Manufacturing Company
9%
Government
7%
 

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...
What are the biggest differences between Workday, Oracle Cloud and SAP SuccessFactors?
Differences between Workday, Oracle Cloud,w and SAP SuccessFactors:w Oracle: "simple interface and deep customization to suit the purpose." SAP: Multiple functionalities that increase process effi...
What do you like most about Oracle Cloud Infrastructure Registry?
It's reliable, performs well, and is often faster than running applications on separate machines due to optimized performance and networking capabilities within OCI.
What needs improvement with Oracle Cloud Infrastructure Registry?
They could improve their global presence and marketing strategy to compete effectively with the likes of AWS. Additionally, their support team has a slow response time, which is not as great as oth...
 

Also Known As

No data available
Oracle Cloud Infrastructure Registry, Oracle OCIR, OCIR, Oracle Cloud, Oracle Cloud Platform
 

Overview

 

Sample Customers

Allthecooks, BetterCloud, Bluecore, Cosentry, Evite, Ezakus, HTC, Infectious Media, iStreamPlanet, Mendelics, SageMathCloud, Sedex, Treeptik, Wibigoo, Wix, zulily, Zync
Kenya Airways, Cell, Panasonic, Frontera, M&C Saatchi, Lumentum, WA
Find out what your peers are saying about Google Compute Engine vs. Oracle Cloud Infrastructure (OCI) and other solutions. Updated: March 2025.
842,767 professionals have used our research since 2012.