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Google Compute Engine vs IBM Public Cloud comparison

 

Comparison Buyer's Guide

Executive Summary

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
Average Rating
8.8
Reviews Sentiment
7.0
Number of Reviews
16
Ranking in other categories
Infrastructure as a Service Clouds (IaaS) (10th)
IBM Public Cloud
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
17
Ranking in other categories
PaaS Clouds (12th), IoT Platforms (6th)
 

Mindshare comparison

While both are Cloud Services solutions, they serve different purposes. Google Compute Engine is designed for Infrastructure as a Service Clouds (IaaS) and holds a mindshare of 0.5%, up 0.2% compared to last year.
IBM Public Cloud, on the other hand, focuses on PaaS Clouds, holds 3.2% mindshare, down 4.5% since last year.
Infrastructure as a Service Clouds (IaaS)
PaaS Clouds
 

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.
Shivakumar Kuppannan - PeerSpot reviewer
No hidden charges, 100% stable, and allows us to have bare metal servers for dedicated workload
It pretty much has all the features. There are many applications and features, and because of that, we need to walk through or study all the material and do hands-on. We need clear documentation or support for using IBM Public Cloud. The UI is fine, and everything else in terms of usability and configuring the cloud is also fine. The only thing is that when we're stuck or get an error, we need some technical support. Normally, for any cloud, we get a lot of information on the web, but that is missing in the case of IBM Public Cloud. We need some technical support documents. That is the only thing missing in IBM Public Cloud.

Quotes from Members

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

Pros

"Google is managing all hardware. You don't need to provision or pre-provision your computer engine."
"The main motive for choosing Google Compute Engine is pricing."
"Google Compute is highly scalable."
"Everything is simple and useful. The initial setup is not challenging."
"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."
"I recommend the tool to others since it has high availability features, scalability, and stability."
"One of GCE's best features is the managed instance groups."
"It's the most engineer-friendly product compared to Amazon AWS or Azure."
"The initial setup was very easy. It's quite straightforward. Deployment took about fifteen minutes. Everything is well organized."
"An advantage of IBM Public Cloud is the bare metal server. We can take the bare metal server. It's not shared with anyone. We can deploy our applications without sharing them with anyone. That is an advantage of IBM Public Cloud."
"It provides robust analytics and management tools to give customers complete visibility into their environment and infrastructure."
"What I like most in IBM Public Cloud is how easy it is to create serverless functions. They are called IBM functions, but in AWS, they are called Lambda functions. Those are pretty standard, and another thing I like the most is that you have fewer restrictions on the amount of data you can transfer across those functions. IBM Public Cloud is way more flexible than AWS. I also like that IBM Public Cloud is pretty straightforward to integrate. As long as you have all the tools IBM provides you, getting everything up and running is straightforward."
"It is easy to deploy what you need for the initial setup"
"It's straightforward, has a good environment and is cost-effective."
"This product is very good because it is accessible in remote locations, and anyone can deploy from any place."
"The price of IBM Cloud is most valuable for us. The service is personable and gives us a good rapport. I can't say it's the best, but it was enough for our needs."
 

Cons

"Sometimes support takes time to reply."
"Sometimes support takes time to reply."
"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."
"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 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."
"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."
"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."
"I would like to see a more user-friendly deployment process in the next release of this solution."
"The product should offer more computing, similar to Amazon."
"The solution’s pricing could be improved."
"An area for improvement in IBM Public Cloud is getting up-to-date information on how to set up everything. It's hard to find new documentation."
"Recently, we just faced some issues with the operating system due to the end of life of CentOS 6...So, then the client wanted to try it out under AWS instead of IBM. In short, it has some complexities."
"It could be more secure."
"They could improve on customizing reporting capabilities."
"There is not a lot of support for this solution, which is something that needs to be improved."
 

Pricing and Cost Advice

"I rate GCE's pricing a five out of ten since it's affordable."
"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'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 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."
"We are using the trial version of this solution, so we have not paid anything."
"IBM Public Cloud is pretty cheap. They have an ongoing free tier that basically won't expire, so as long as your solution is small enough, you can have a test set that you can use for demos, which will cost you almost nothing."
"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a nine out of ten."
"Pricing is not as fair as Amazon or Azure."
"It pretty much has a standard price. There is no hidden price with IBM Public Cloud."
"The licensing fees are straightforward and predictable."
"IBM has a lesser price compared to other cloud service providers like Azure and AWS."
"In order to be competitive, you have to commit to a contract for at least one year, but you pay a fixed monthly fee."
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Top Industries

By visitors reading reviews
Manufacturing Company
18%
Computer Software Company
18%
University
14%
Financial Services Firm
9%
University
13%
Computer Software Company
13%
Financial Services Firm
12%
Manufacturing Company
8%
 

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 ...
What needs improvement with IBM Cloud?
The front end is not pervasive, so it is very difficult get the status of your current services or account from a mobile device.
What do you like most about IBM Public Cloud?
The most valuable feature of IBM Public Cloud is the AI integrations.
 

Also Known As

No data available
IBM Bluemix
 

Overview

 

Sample Customers

Allthecooks, BetterCloud, Bluecore, Cosentry, Evite, Ezakus, HTC, Infectious Media, iStreamPlanet, Mendelics, SageMathCloud, Sedex, Treeptik, Wibigoo, Wix, zulily, Zync
Uvionics Tech, Komsomolskaya Pravda, Alpha Modus, Inventive, Web Business Consulting, FindBrok, SilverHook Powerboats, United Way of Allegheny County
Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Oracle and others in Infrastructure as a Service Clouds (IaaS). Updated: January 2025.
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