Google Cloud vs Red Hat OpenShift on IBM Cloud comparison

Why PeerSpot?

Google and IBM are both solutions in the PaaS Clouds category. Google is ranked #4 with an average rating of 8.6, while IBM is ranked #18 with an average rating of 8.0. Google holds a 5.9% mindshare in PSP, compared to IBM’s 1.2% mindshare. Additionally, 97% of Google users are willing to recommend the solution, compared to 85% of IBM users who would recommend it.

Google Cloud

Read 81 Google Cloud reviews

17,331 Views
8,146 Comparison Views

97% willing to recommend

Red Hat OpenShift on IBM Cloud

Read 8 Red Hat OpenShift on IBM Cloud reviews

1,378 Views
1,378 Comparison Views

85% willing to recommend

Google Cloud

Red Hat OpenShift on IBM Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 15, 2024

Google Cloud and Red Hat OpenShift on IBM Cloud compete in the cloud services market. Google Cloud seems to have the upper hand with its strong emphasis on global infrastructure and AI tools, while Red Hat OpenShift appeals to those prioritizing security and enterprise integration.

Features: Google Cloud provides advanced data analytics, robust AI/ML capabilities, and a vast global infrastructure network, making it ideal for businesses prioritizing scalability. Red Hat OpenShift on IBM Cloud offers strong security protocols and a comprehensive Kubernetes environment, providing enterprise-grade support and seamless integration with existing systems.

Room for Improvement: Google Cloud could enhance its direct customer support options and strengthen its security protocols to cater to more enterprise customers. It might also expand integration capabilities with other prevalent enterprise tools. Red Hat OpenShift on IBM Cloud can improve the user-friendliness of its interface and provide more straightforward deployment processes. Its pricing model might also benefit from a more flexible approach. Finally, its global infrastructure may need expansion to compete with Google Cloud.

Ease of Deployment and Customer Service: Google Cloud facilitates deployment with an intuitive platform and comprehensive documentation, although direct support options are less emphasized. Red Hat OpenShift on IBM Cloud provides a more hands-on approach, offering reliable enterprise support for complex setups, placing a significant focus on integration and customer service.

Pricing and ROI: Google Cloud features a flexible and competitive pricing model that emphasizes cost control and offers considerable ROI through scalability. Red Hat OpenShift on IBM Cloud tends to have a higher upfront cost due to its premium enterprise focus, delivering long-term value via secure and efficient operations. The core difference lies in Google Cloud's affordability compared to Red Hat OpenShift's focus on security and alignment with enterprise needs.

To learn more, read our detailed Google Cloud vs. Red Hat OpenShift on IBM Cloud Report (Updated: September 2026).

Buyer's Guide

Google Cloud vs. Red Hat OpenShift on IBM Cloud

September 2026

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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 Cloud

Ranking in PaaS Clouds

4th

Average Rating

8.4

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Infrastructure as a Service Clouds (IaaS) (3rd)

Red Hat OpenShift on IBM Cloud

Ranking in PaaS Clouds

18th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the PaaS Clouds category, the mindshare of Google Cloud is 5.9%, up from 5.3% compared to the previous year. The mindshare of Red Hat OpenShift on IBM Cloud is 1.2%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

PaaS Clouds Mindshare Distribution
Product	Mindshare (%)
Google Cloud	5.9%
Red Hat OpenShift on IBM Cloud	1.2%
Other	92.9%

PaaS Clouds

Featured Reviews

AnjaneyaVara Prasad

Solution Architect at a tech vendor with 10,001+ employees

Cloud services have reduced on‑prem hardware costs and now support flexible microservices workloads

Regarding potential areas of improvement for Google Cloud, considering that they are providing 300 plus services, some services could be improved. For example, if I am facing some network troubleshooting issue in GKE in Google Cloud, I have to dig deeply and enable some special logs, such as flow logs. To enable that, it is chargeable. At least for basic services, they should give end-to-end support. In terms of end-to-end support, if I am purchasing one firewall from Google and using that firewall, all firewall-related services should be free. If I want to troubleshoot something deep and perform deep troubleshooting, you have to enable some additional logs. That is not that good. If I have to enable additional logs and want to store them into Google Cloud storage, which is similar to an S3 bucket, it is again chargeable. Those kinds of things should be given as part of the package. If you take firewall, all firewall-related logs, activities, and diagnostics everything should come as one package. If you want to do some deep analysis, you have to enable these logs, and for that you have to store them in the cloud storage, which is again chargeable. We should not have those kinds of things.Regarding additional costs, it can vary case by case. If I want to do deep analysis, I have to enable some logs, and for those logs, Google is charging. I am already paying for my virtual firewall from Google, and I am paying the cost for that. If I want to do some further troubleshooting and enable some low-level logs, they are charging for that. So these are the kinds of things I am talking about. To do very deep-level troubleshooting and enable additional logs, they will be charging. Not only Google, but all clouds are charging for this. Functionality-wise, Google Cloud is fine. In terms of virtual machine deployment or VM instance, the functionality is good.

Read full review

Adrian Bilauca

Chief Software Engineer at Totalsoft

Handles security setups independently for a more secure environment

OpenShift does have more secure features. Azure also has equivalent services. For my client, it was good enough to switch to Azure. For development, there wasn't any significant change in effort, however, for the DevOps team, it was a relief since Azure has managed services. We used elasticity and scalability all over.

Read full review

Quotes from Members

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

Pros

"The features I found most valuable are the cloud run and cloud function."

"Google Cloud is perceived as a cost-effective and user-friendly option, especially compared to AWS. The current affordability and ease of use make it suitable for medium-sized companies. While the complexity may increase in the future, for now, Google Cloud is considered easy to use."

"We're using this solution to host all of our applications."

"Google Cloud has low downtime."

"There is no downtime. It is very reliable."

"Kubernetes is one of the most successful orchestration platforms to manage applications."

"The speed, security, and performance of Google Cloud are excellent."

"The infrastructure is easy to manage."

More Google Cloud pros

"For the DevOps team, it was a relief since Azure has managed services."

"The solution offers the most robust Kubernetes orchestration available."

"I've used the elasticity and scalability all over."

"The most valuable feature of Red Hat OpenShift on IBM Cloud is the UI console. We are able to receive the resources from the console directly."

"The initial setup is easy."

"In general, customers appreciate its ability to run different workloads, manage applications through CI/CD pipelines like Jenkins, and leverage tools like Helm charts and Kako."

"The portability, moving from one platform to another, is easy."

"The deployment mechanism has become more dynamic with the use of the product."

More Red Hat OpenShift on IBM Cloud pros

Cons

"They need to improve the costing for predictive analytics, which is mainly related to the tools that come with AI. They also need to improve the BigQuery cost optimization and the visualization."

"Training in new advancements, technologies, or AI would help us understand how to best use the solution."

"Google Cloud would benefit from more detailed practical hands-on training especially in your mother tongue, not just English."

"In terms of Google services, providing more hypervisors would be beneficial."

"The initial setup is somewhat more complicated than competing products."

"An area of improvement could be the release of products prior to general availability not being performant, as releasing to private preview occurs too soon before products are ready."

"Google Cloud could improve interoperability with other cloud services."

"I think perhaps the usability of Google Cloud could be one of the things that might get improved."

More Google Cloud cons

"Many of the managed services are not accessible."

"The effectiveness is satisfactory, and there haven't been any additional fees due to meeting demands. However, there's room for improvement in pricing, performance, and stability. Regarding the UI, it could be more user-friendly and integrated with various platforms. Currently, the UI lacks user-friendliness, especially for developers unfamiliar with container technology. Expecting them to create YAML files for security purposes is unrealistic without proper guidance or experience. This aspect needs improvement."

"The service mesh integrations could improve the solution."

"At this point, I cannot recommend this to other users because of the experience that we have had."

"The installation and configuration procedure should be simplified."

"Making it even more cost-effective could be explored."

"The performance could be better; it's a bit slow right now."

"There is room for improvement in cluster-based queue monitoring and autoscaling."

More Red Hat OpenShift on IBM Cloud cons

Pricing and Cost Advice

"Compared to Azure Cloud, Google Cloud is more expensive but it is okay."

"The solution is cheaper than AWS."

"The biggest problem with Google Cloud is price."

"For commercial purposes, users need to pay for the products they use on a workload basis, not a license basis. There are two pricing models: fixed monthly and pay-as-you-go. In the pay-as-you-go model, users pay for the resources they use, while in the fixed monthly model, they have 24/7 access to resources for a set monthly fee."

"The solution is cheaper than Azure."

"They provide user-based licensing plans. Its plan could be less expensive."

"The pricing is rated a six out of ten."

"We approached Google Cloud with certain cost assumptions but were surprised to find that our actual expenses were higher than expected. Initially, we had anticipated spending a set amount on the solution, but in reality, we ended up spending more than that. It would be helpful to have greater transparency and educational documentation on the cost-related aspects of Google Cloud."

More Google Cloud pricing and cost advice

"The pricing is a little high in China."

"This product is not costly when compared to other vendors."

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Top Industries

By visitors reading reviews

Manufacturing Company

14%

Financial Services Firm

11%

Comms Service Provider

10%

Outsourcing Company

Comms Service Provider

19%

Financial Services Firm

12%

Performing Arts

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	42
Midsize Enterprise	10
Large Enterprise	38

By reviewers
Company Size	Count
Midsize Enterprise	2
Large Enterprise	6

Questions from the Community

What needs improvement with Google Cloud?

I think perhaps the usability of Google Cloud could be one of the things that might get improved. In terms of not having to type the whole instruction I need to input to the system, just maybe some...

See all answers

What is your primary use case for Google Cloud?

My main use case for Google Cloud would be using the functions and the Vertex AI functionality, so mostly AI research and AI deployment. For my AI research and deployment, I use Vertex AI to extrac...

See all answers

What advice do you have for others considering Google Cloud?

On a scale of 1 to 10, I rate Google Cloud a nine. I choose nine because it combines a unique set of tools that are actually helpful and impactful on my daily work. Regarding Google Cloud's AI capa...

See all answers

What is your experience regarding pricing and costs for Red Hat OpenShift on IBM Cloud?

From a cost perspective, some cost-effective situations were more difficult to achieve in Azure than in OpenShift. Comparing them can be difficult since the financial services cloud had stripped ma...

See all answers

What needs improvement with Red Hat OpenShift on IBM Cloud?

There is more work and effort needed for when many of the managed services are not accessible, especially in the security area. You have to do your own security setups as opposed to using a managed...

See all answers

What is your primary use case for Red Hat OpenShift on IBM Cloud?

If you want to control a more secure environment, like an on-premises environment, I use OpenShift on IBM Financial Services Cloud but not on the public cloud.

See all answers

Comparisons

Alibaba Cloud vs Google Cloud

Compared 24% of the time

Amazon AWS vs Google Cloud

Compared 6% of the time

Microsoft Azure vs Google Cloud

Compared 6% of the time

Oracle Cloud Infrastructure (OCI) vs Google Cloud

Compared 5% of the time

Akamai Connected Cloud (Linode) vs Google Cloud

Compared 5% of the time

More Google Cloud Competitors

Microsoft Azure vs Red Hat OpenShift on IBM Cloud

Compared 15% of the time

Oracle Cloud Infrastructure (OCI) vs Red Hat OpenShift on IBM Cloud

Compared 12% of the time

Red Hat OpenShift vs Red Hat OpenShift on IBM Cloud

Compared 12% of the time

Amazon AWS vs Red Hat OpenShift on IBM Cloud

Compared 9% of the time

Cloud Foundry vs Red Hat OpenShift on IBM Cloud

Compared 8% of the time

More Red Hat OpenShift on IBM Cloud Competitors

Product Reports

Buyer's Guide

Google Cloud

September 2026

Download Google Cloud product report

Buyer's Guide

PaaS Clouds

September 2026

Download Red Hat OpenShift on IBM Cloud product report

Also Known As

GCP

No data available

Overview

Google Cloud offers a comprehensive platform renowned for cost-effectiveness, scalability, robust security, and seamless integration with tools such as Kubernetes, making it suitable for various business functions.

Google Cloud stands out for its ease of setup, stable infrastructure, and user-friendly interface. It provides essential features for AI, data analytics, and reliable storage, supporting multi-regional deployments for diverse applications. While maintaining minimal operational costs, it ensures simplified deployment and comprehensive application capabilities. However, improvements are needed in monitoring tools, customer support, documentation, and pricing options. Enhancements in stability, integration, and workload management are also required.

What are the essential features of Google Cloud?

Cost-effectiveness: Enables budget-friendly operations and reduced operational costs.
Easy Setup: Offers a straightforward and quick setup process.
Scalability: Supports growing business needs with vast resources and infrastructure.
Robust Security: Provides strong protection and compliance measures.
Seamless Integration: Effective integration with tools like Kubernetes and other applications.

What benefits and ROI can be observed?

Reduction in Operational Costs: Minimizes infrastructure and maintenance expenses.
Global Reach: Allows businesses to expand operations across multiple regions.
Flexibility: Adapts to different business models and rapid scaling needs.
Cross-Platform Compatibility: Facilitates integration with existing tools and platforms.

Industries leverage Google Cloud for infrastructure management, analytics, application hosting, and development environments. Entities utilize its cloud network, machine learning support, disaster recovery solutions, and big data handling. Many rely on Workspace tools for communication and virtual machine applications for efficient IT infrastructure deployment.

Google

Red Hat OpenShift on IBM Cloud is known for its efficient transaction processing, robust Kubernetes orchestration, and seamless portability. It enhances application management and provides a versatile GUI for accessing resources on any cloud, aiding developers with a stable setup across platforms.

This offering supports continuous integration and deployment pipelines, integrating security checks with Fortify. The intuitive console allows for direct resource access, streamlining application management. Suitable for deploying workloads on public or private clouds, it handles middleware telecom transactions, digital application APIs, and manages microservices effectively. While appreciated for easy setup and stable performance, areas like autoscaling, performance, and pricing require enhancements for improved user experience.

What are the key features of Red Hat OpenShift on IBM Cloud?

Kubernetes Orchestration: Efficiently manages Kubernetes applications across clusters.
Autoscaling: Dynamically adjusts resources based on demand.
Security Integration: Supports Fortify for robust security checks.
CI/CD Pipelines: Facilitates automation in deployment processes.
GUI Access: Provides a user-friendly interface for resource management.

What benefits can users expect from Red Hat OpenShift on IBM Cloud?

Seamless Portability: Easily migrate applications across cloud environments.
Enhanced Stability: Offers a stable environment for deploying workloads.
Improved Efficiency: Streamlines management with advanced orchestration.
Cost-Effectiveness: Optimizes resource usage for budget-friendly operations.

Red Hat OpenShift on IBM Cloud is widely implemented in industries focusing on telecom and digital applications. Companies deploy microservices for secure, cloud-based environments, leveraging Kubernetes for managing services effectively. It enables advanced cluster management and supports deployment of customer services on both IBM and Microsoft platforms.

IBM

Sample Customers

Information Not Available

edenor, Ford

Buyer's Guide

Google Cloud vs. Red Hat OpenShift on IBM Cloud

September 2026

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