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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 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 Oracle Cloud Infrastructure (OCI) is 8.6%, down from 12.3% 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

"Everything is simple and useful. The initial setup is not challenging."
"In GCP, there's a custom configuration feature unlike AWS and Azure"
"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 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."
"Google is managing all hardware. You don't need to provision or pre-provision your computer engine."
"I recommend the tool to others since it has high availability features, scalability, and stability."
"The most valuable feature is auto-scaling."
"It's the most engineer-friendly product compared to Amazon AWS or Azure."
"I am impressed with the tool's upscaling and resiliency features."
"Oracle is a very useful tool in terms of usability and customization."
"The most valuable features are the manageability and the user interface."
"What I like best about Oracle Cloud is that it is an all-in-one system for everything."
"Our recommendations are good, and we also have a bidding platform that is helpful for managed service providers. This platform can save customers up to 2-3 weeks in billing time, from 25 days to 3-4 days. We have two products: a basic product and a cloud optimization product. Both products help customers improve the performance and cost-efficiency of their cloud environments."
"The most valuable feature of Oracle Cloud is its autonomous database."
"Oracle Cloud has wonderful features and offerings as a service. It's not just a pure-play cloud product or SaaS application. It has a complete suite from infrastructure to platform as a service to software as a service, and this is what I find most valuable in Oracle Cloud. For infrastructure on the cloud or infrastructure as a service on the cloud, there's OCI (Oracle Cloud Infrastructure). Oracle Cloud is easily available. You just click it. I also found the feature of creating a landing zone valuable. Oracle Cloud is also very flexible as it lets you have a hybrid cloud model along with other cloud solutions. I also like that it offers good management on the cloud. Oracle Cloud is ready to use as a service, and that's wonderful because the time to market is very quick. I also like that Oracle Cloud offers high performance and high availability. A lot of people claim that there's high availability in their companies' cloud operations, but technically speaking, pure high availability in today's context is found in Oracle Cloud."
"The most valuable features of the Oracle Cloud Platform are good visualization and analytics. The solution is very well integrated with predictive analytics and forecasting. These features go beyond the traditional reports and visualization."
 

Cons

"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 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."
"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."
"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."
"The licensing process is not a very straightforward process."
"It is not very user-friendly for non-experienced users"
"Google has a lack of focus on their products."
"The initial setup can be a bit complex."
"The customization and the requests put through were not flexible enough."
"Areas that need improvement are the pricing and the support."
"Oracle support could be better; we had cases where certain regions experienced specific issues and received little help from Oracle."
"In general, the systems application needs improvement."
"The setup was not simple."
"The framework from AWS is so good, I would like to see this feature in OCI."
"The solution requires tighter integration capabilities."
 

Pricing and Cost Advice

"I rate GCE's pricing a five out of ten since it's affordable."
"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."
"It's $60,000 to $70,000 a month to replace about $10,000 a month in data center costs."
"Google Compute Engine's pricing is flexible and the best of all other alternatives."
"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."
"Oracle offers universal credit and pay-as-you-go options."
"The price is middling; it's not the most expensive product, but there is still some room for it to be more flexible."
"The price of the solution should be reduced to a price that people can afford."
"Oracle Cloud is an expensive solution."
"We pay the subscription cost."
"It's not that expensive. I think it's maybe half or one-fourth of our actual on-prem cost, especially in Oracle Data Integrator. It's pretty cheap. Maybe around $30,000 or $40,000 per month."
"The license is a bit expensive for academic work."
"The pricing is a little bit expensive compared to other products."
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Top Industries

By visitors reading reviews
Manufacturing Company
18%
Computer Software Company
18%
University
14%
Financial Services Firm
9%
Computer Software Company
14%
Financial Services Firm
13%
Manufacturing Company
10%
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: January 2025.
837,501 professionals have used our research since 2012.