Google Cloud Run vs Red Hat OpenShift comparison

Google and Red Hat are both solutions in the Container Management category. Google is ranked #15 with an average rating of 8.2, while Red Hat is ranked #7 with an average rating of 8.5. Additionally, 100% of Google users are willing to recommend the solution, compared to 95% of Red Hat users who would recommend it.

Google Cloud Run

Read 6 Google Cloud Run reviews

190 Views
171 Comparison Views

100% willing to recommend

Red Hat OpenShift

Read 73 Red Hat OpenShift reviews

14,243 Views
2,136 Comparison Views

95% willing to recommend

Google Cloud Run

Red Hat OpenShift

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Executive Summary

We performed a comparison between Google Cloud Run and Red Hat OpenShift based on real PeerSpot user reviews.

Find out in this report how the two Container Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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

Buyer's Guide

Google Cloud Run vs. Red Hat OpenShift

April 2026

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Helped 894,738 peers since 2012

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 Run

Ranking in Container Management

15th

Average Rating

8.4

Reviews Sentiment

2.2

Number of Reviews

Ranking in other categories

Containers as a Service (CaaS) (5th)

Red Hat OpenShift

Ranking in Container Management

7th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

PaaS Clouds (3rd), Server Virtualization Software (6th), Hybrid Cloud Computing Platforms (4th), Agile and DevOps Services (1st)

Featured Reviews

Andlib Saif

Technical Lead at a tech consulting company with 1,001-5,000 employees

Microservices deployment has become faster and cost optimization is driving daily development

While Google Cloud Run does a great job of reducing costs, to mitigate cold starts, users can set minimum instances, but scaling to zero costs has become a cost-saving advantage even when idle, and idle instance costs might occur. This can be avoided because whenever a heavy container causes a cold start, it affects latency and sensitivity of the application. When it starts from idle to full run, it scales slowly, causing slowness in the service deployed; sometimes some of the APIs fail to respond. It is difficult to identify the bug because it is often due to the idleness of the application and not the code, which can be quite frustrating. Additionally, simple tasks for developers who just want to run a few lines of code can be more complex. I would say optimizing concurrency can improve the experience; currently, managing multiple containers in a single Google Cloud Run instance becomes quite difficult, especially tasks such as logging and local proxy monitoring. Google provides fully orchestrated alternatives, but Cloud Run is better for scaling. Slowness in applications is a notable issue.

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Pratul Shukla

Vice President at a financial services firm with 10,001+ employees

Adopting a flexible and efficient approach with noticeable improvements in operational costs and continued challenges in job management

Currently, one of the biggest challenges we face is with services and jobs. For spawning batches, although it has crons, it is not easy to integrate with enterprise systems such as Autosys. The entire company uses Autosys, but we are not able to integrate it effectively. We need intermediate servers to run OC utility commands and initiate the cron job. We have to do a lot of modifications to ensure our batches work properly. With physical or virtual servers, even in AWS, we are able to write and manage multiple jobs. Managing batches in Red Hat OpenShift has been a significant challenge. Integrating third parties is a challenge with Red Hat OpenShift. For example, with Elasticsearch, onboarding itself was difficult, running file beats and dealing with routing issues. It is not straightforward, especially since we have some components in AWS as. AWS has many capabilities that come out of the box and are easier to work with compared to Red Hat OpenShift. Red Hat OpenShift's biggest disadvantage is they do not provide any private cloud setup where we can host on our site using their services. The main reason we went with Red Hat OpenShift was because it is a private cloud, and we have regulatory requirements that prevent us from using public cloud.

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Quotes from Members

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

Pros

"In Google Cloud Run, we are mainly using the feature where we can directly pull images from Docker Hub."

"Google Cloud Run has positively impacted my organization in numerous ways, such as significant cost efficiency and reduced overhead since we only pay for the resources that we use."

"Google Cloud Run and the Google Cloud environment positively impact my organization by providing almost 99.9% availability for applications, which instills confidence in the organization and users by reducing the dependency on the physical network and allowing access to applications and data."

"Google Cloud Run has positively impacted our organization by saving us five thousand dollars per month based on scheduling our infrastructure from nine p.m. to nine a.m. for shutdown and starting, as well as stopping the MongoDB clusters."

"Google Cloud Run has impacted my organization positively through faster deployment and development, where developers can deploy applications quickly without worrying about infrastructure, push the app live with just containers, speed up time to market significantly, launch features faster and iterate more often, pay only when code runs without maintaining idle servers, reduce cloud costs dramatically for applications with low or unpredictable traffic, automatically scale based on traffic spikes to handle sudden loads without manual intervention so our business does not lose users during peak hours, and let developers focus on business logic instead of DevOps."

"Google Cloud Run is a very good tool that I use for deploying applications; its ease of deployment, auto scaling features, and resource optimization are very nice features that help individuals deploy their apps and solutions into the cloud without any hiccups."

"In a couple of months, we can move from physical infrastructure to a container."

"Self-provisioning support saves a lot of time and unnecessary work from the system administrator who can use this time to run and monitor the infrastructure."

"The security features of OpenShift are strong when in use of role-based access."

"A smaller cloud running on containers enables easy deployment with the ability to scale up and scale down, and it can host multiple services on the same platform."

"OpenShift offers an easy-to-use graphical user interface for cluster management, making it more accessible for administrators."

"Customer service is perfect."

"The product has helped kick off applications for developers at speed, as new joiners can just start using the platform without bothering to set up an application stack and/or server stack on their local laptop."

"The virtualization of my APIs means I no longer have to pay VMware large amounts of money to only run in-house solutions."

More Red Hat OpenShift pros

Cons

"There are a few areas that could be improved. We have experienced cold start latency because when scaling from zero, the first request is slow."

"When it starts from idle to full run, it scales slowly, causing slowness in the service deployed; sometimes some of the APIs fail to respond."

"There are a few areas where Google Cloud Run could improve."

"If speaking about improvements for Google Cloud Run, I think they could reduce the cold starts and manage to configure a set number of minimum instances to keep the instances in a warm phase."

"One area where Google Cloud Run could be better is the cold start; when a container scales, it starts from zero and takes a moment to boot up before it can serve the request."

"This solution could be improved by offering best practices on standardization and additional guidance on how to use this solution."

"Autoscaling issues. It does not increase in a seamless manner. Sometimes, CPU utilization/Memory utilization exceeds and the application just hangs or gets into HeapSpace or OutOfMemory error."

"While Red Hat OpenShift is stable, monitoring and reporting capabilities need improvement. Integration with tools like Grafana and Prometheus is necessary for capturing logs, and manually managing these aspects is time-consuming."

"I want easier node management and more user-friendly scripts for installing master and worker nodes."

"The software-defined networking part of it caused us quite a bit of heartburn. We ran into a lot of problems with the difference between on-prem and cloud, where we had to make quite a number of modifications... They've since resolved it, so it's not really an issue anymore."

"OpenShift could improve by providing the ability to integrate with public cloud platforms. This way we can easily use the services that these platforms offer."

"This solution is fairly expensive but comes at an average cost compared to other solutions in the market."

"The whole area around the hybrid cloud could be improved. I would like to deploy a Red Hat OpenShift cluster on-premise and on the cloud, then have Red Hat do the entire hybrid cloud management."

More Red Hat OpenShift cons

Pricing and Cost Advice

Information not available

"My company makes payments towards the licensing costs attached to OpenShift."

"It's expensive. It may be cheaper to invest in building Vanilla Kubernetes, especially if security is not the number one motivation or requirement. Of course, that's difficult, and in some business areas, such as banking, that's not something you can put as a second priority. In other situations, a Vanilla Kubernetes with a sufficiently strong team can be cheaper and almost as effective."

"The price depends on the type and the nature of the organizations, along with the types of projects that are of considerable range."

"I don't deal with the cost part, but I know that the cost is very high when compared to other products. They charge for CPU and memory, but we don't worry about it."

"The model of pricing and buying licences is quite rigid. We are in the process of negotiating on demand pricing which will help us take advantage of the cloud as a whole."

"The cost is quite high."

"Depending on the extent of the product use, licenses are available for a range of time periods, and are renewable at the end of the period."

"Pricing of OpenShift depends on the number of nodes and who is hosting it."

More Red Hat OpenShift pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

22%

Manufacturing Company

10%

Government

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	19
Midsize Enterprise	6
Large Enterprise	56

Questions from the Community

What needs improvement with Google Cloud Run?

See all answers

What is your primary use case for Google Cloud Run?

I am mainly using Google Cloud Run for running microservices and its web APIs, creating GraphQL APIs and validation. I also use it for event-driven processing, uploading files into cloud storage, a...

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What advice do you have for others considering Google Cloud Run?

Google Cloud Run is something I have worked with and I have experience using it. The platform is very user-friendly, simple, and easy to use. The portability is highly portable. Google handles its ...

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How does OpenShift compare with Amazon AWS?

Open Shift makes managing infrastructure easy because of self-healing and automatic scaling. There is also a wonderful dashboard mechanism to alert us in case the application is over-committing or ...

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Which would you recommend - Pivotal Cloud Foundry or OpenShift?

Pivotal Cloud Foundry is a cloud-native application platform to simplify app delivery. It is efficient and effective. The best feature is how easy it is to handle external services such as database...

See all answers

What needs improvement with OpenShift?

Red Hat OpenShift can be improved by addressing any features, performance, or usability issues. In my view, the performance is very good, and the automatization of the new environment and new machi...

See all answers

Comparisons

Microsoft Defender for Cloud vs Google Cloud Run

Compared 100% of the time

More Google Cloud Run Competitors

Amazon AWS vs Red Hat OpenShift

Compared 8% of the time

Microsoft Azure vs Red Hat OpenShift

Compared 6% of the time

Nutanix Kubernetes Platform (NKP) vs Red Hat OpenShift

Compared 5% of the time

VMware Tanzu Platform vs Red Hat OpenShift

Compared 5% of the time

Proxmox VE vs Red Hat OpenShift

Compared 4% of the time

More Red Hat OpenShift Competitors

Product Reports

Buyer's Guide

Containers as a Service (CaaS)

April 2026

Download Google Cloud Run product report

Buyer's Guide

Red Hat OpenShift

April 2026

Download Red Hat OpenShift product report

Also Known As

Google Cloud Functions, Google Run, GCF

No data available

Overview

Google Cloud Run is a versatile and scalable platform for deploying containerized applications. It offers automatic scaling and supports any language or library, making it a practical choice for developers and enterprises aiming for agility and efficiency in cloud-based workloads.

Designed to enhance application deployment, Google Cloud Run provides serverless capabilities that allow apps to run on fully managed environments. Its ability to support containers on Kubernetes ensures that developers can leverage modern DevOps practices. The platform integrates seamlessly with existing Google Cloud services, which simplifies deployment processes and reduces operational complexity. Its serverless nature allows pay-per-use billing, optimizing costs while ensuring workload flexibility.

What are the key features of Google Cloud Run?

Automatic Scaling: Automatically adjusts compute resources based on traffic, ensuring applications run efficiently.
Fully Managed: Offers a serverless environment, reducing management overhead and enabling developers to focus on code.
Supports Any Language: Capable of running any language runtime, increasing versatility for developers.
Secure by Default: Provides built-in security features, including HTTPS and identity management integration.

What benefits and ROI should users consider?

Cost-efficiency: Pay only for what you use, reducing unnecessary expenses.
Scalability: Handle varying workloads with ease, improving performance reliability.
Developer Productivity: Simplifies the deployment process, enabling faster time-to-market.
Integration: Seamless alignment with other Google Cloud services, enhancing existing workflows.

Google Cloud Run is widely adopted across industries like e-commerce, healthcare, and financial services where rapid deployment and scalability are crucial. Companies utilize it for deploying microservices, running data processing jobs, and serving web applications, benefiting from its ability to scale in response to demand and integrate securely within their ecosystem.

Google

Red Hat OpenShift is a comprehensive platform offering versatile container orchestration capabilities, suitable for businesses seeking robust, scalable, and secure solutions for application modernization efforts and microservices deployment.

Red Hat OpenShift combines a user-friendly interface with powerful CLI tools, ensuring rapid deployment and process automation. It seamlessly integrates with Docker and Kubernetes, providing cloud-native stacks for flexibility and compliance. Enhancing development efficiency, OpenShift includes built-in CI/CD tools and dynamic scaling features. It supports multi-cloud environments, avoiding vendor lock-in. However, documentation gaps, interface complexity, and infrastructure demands present challenges, alongside improving integration with third-party tools and monitoring capabilities. Licensing complexities and resource consumption remain areas for improvement, with user experience varying due to support response times.

What are Red Hat OpenShift's key features?

User-Friendly GUI: Offers an intuitive interface for managing containers and applications.
CLI Tools: Robust command line tools for efficient development workflows.
Scalability: Supports dynamic scaling to meet changing demands.
Integration: Seamless integration with Docker and Kubernetes.
Security: Features like role-based access control enhance security.
CI/CD Tools: Built-in tools like Jenkins streamline the development lifecycle.
Multi-Cloud Support: Enables use across different cloud providers.

What benefits should users consider in reviews?

Deployment Speed: Faster application rollouts and updates.
Automation: Reduces manual tasks, increasing operational efficiency.
Security: High-security standards for protecting applications.
Adaptability: Flexible framework suited for diverse environments.
Resource Management: Efficient allocation of resources for cost savings.

In industries embracing cloud-native architectures, Red Hat OpenShift is adept for hosting containerized applications and transitioning legacy systems. It excels in managing DevOps processes, supporting production and development in sectors such as finance, healthcare, and technology, ensuring robust hybrid on-premise and cloud operations.

Red Hat

Sample Customers

Information Not Available

UPS, Cathay Pacific, Hilton

Buyer's Guide

Google Cloud Run vs. Red Hat OpenShift

April 2026

Free Report: Google Cloud Run vs. Red Hat OpenShift

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