Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Run
Score 8.7 out of 10
N/A
Google Cloud Run enables users to build and deploy scalable containerized apps written in any language (including Go, Python, Java, Node.js, .NET, and Ruby) on a fully managed platform. Cloud Run can be paired with other container ecosystem tools, including Google's Cloud Build, Cloud Code, Artifact Registry, and Docker. And it features out-of-the-box integration with Cloud Monitoring, Cloud Logging, Cloud Trace, and Error Reporting to ensure the health of an application.N/A
Red Hat OpenShift
Score 9.2 out of 10
N/A
OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.
$0.08
per hour
Pricing
Google Cloud RunRed Hat OpenShift
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Cloud RunRed Hat OpenShift
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Google Cloud RunRed Hat OpenShift
Features
Google Cloud RunRed Hat OpenShift
Container Management
Comparison of Container Management features of Product A and Product B
Google Cloud Run
7.4
15 Ratings
8% below category average
Red Hat OpenShift
-
Ratings
Security and Isolation8.415 Ratings00 Ratings
Container Orchestration8.114 Ratings00 Ratings
Cluster Management6.41 Ratings00 Ratings
Storage Management2.71 Ratings00 Ratings
Resource Allocation and Optimization8.215 Ratings00 Ratings
Discovery Tools7.511 Ratings00 Ratings
Update Rollouts and Rollbacks8.514 Ratings00 Ratings
Self-Healing and Recovery8.712 Ratings00 Ratings
Analytics, Monitoring, and Logging8.215 Ratings00 Ratings
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Google Cloud Run
-
Ratings
Red Hat OpenShift
8.1
277 Ratings
3% above category average
Ease of building user interfaces00 Ratings8.1239 Ratings
Scalability00 Ratings9.0265 Ratings
Platform management overhead00 Ratings7.7247 Ratings
Workflow engine capability00 Ratings7.8225 Ratings
Platform access control00 Ratings8.3249 Ratings
Services-enabled integration00 Ratings8.1234 Ratings
Development environment creation00 Ratings8.4242 Ratings
Development environment replication00 Ratings8.4229 Ratings
Issue monitoring and notification00 Ratings7.8242 Ratings
Issue recovery00 Ratings7.5239 Ratings
Upgrades and platform fixes00 Ratings8.3242 Ratings
Best Alternatives
Google Cloud RunRed Hat OpenShift
Small Businesses
Portainer
Portainer
Score 9.1 out of 10
AWS Lambda
AWS Lambda
Score 8.4 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
IBM Cloud Private
IBM Cloud Private
Score 9.6 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
IBM Cloud Private
IBM Cloud Private
Score 9.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud RunRed Hat OpenShift
Likelihood to Recommend
8.6
(15 ratings)
9.2
(292 ratings)
Likelihood to Renew
9.0
(1 ratings)
8.8
(27 ratings)
Usability
7.4
(2 ratings)
8.3
(13 ratings)
Availability
8.0
(1 ratings)
5.5
(1 ratings)
Performance
8.0
(1 ratings)
8.7
(131 ratings)
Support Rating
-
(0 ratings)
6.6
(10 ratings)
In-Person Training
-
(0 ratings)
7.0
(1 ratings)
Implementation Rating
8.0
(1 ratings)
6.7
(4 ratings)
Configurability
8.0
(1 ratings)
-
(0 ratings)
Contract Terms and Pricing Model
8.0
(1 ratings)
8.0
(3 ratings)
Product Scalability
8.0
(1 ratings)
-
(0 ratings)
Professional Services
8.0
(1 ratings)
7.3
(1 ratings)
Vendor post-sale
8.0
(1 ratings)
8.0
(1 ratings)
Vendor pre-sale
9.0
(1 ratings)
8.0
(1 ratings)
User Testimonials
Google Cloud RunRed Hat OpenShift
Likelihood to Recommend
Google
Microservices and RestFul API application as it is fast and reliant. Seamless integration with event triggers such as pubsub or event arc, so you can easily integrate that with usecases with file uploads, database changes, etc. Basically great with short-lived tasks, if however, you have long-running processses, Cloud Run might not be idle for this. For example if you have a long running data processing task, other solutions such as kubeflow pipelines or dataflow are more suited for this kind of tasks. Cloud Run is also stateless, so if you need memory, you will have to connect an external database.
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Red Hat
Red Hat OpenShift, despite its complexity and overhead, remains the most complete and enterprise-ready Kubernetes platform available. It excels in research projects like ours, where we need robust CI/CD, GPU scheduling, and tight integration with tools like Jupyter, OpenDataHub, and Quiskit. Its security, scalability, and operator ecosystem make it ideal for experimental and production-grade AI workloads. However, for simpler general hosting tasks—such as serving static websites or lightweight backend services—we find traditional VMs, Docker, or LXD more practical and resource-efficient. Red Hat OpenShift shines in complex, container-native workflows, but can be overkill for basic infrastructure needs.
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Pros
Google
  • Auto scaling is the best one
  • provide direct VPC connectivity and rigid network
  • Cloud SQL and Pub/Sub services
  • Handling latency issues
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Red Hat
  • We had a few microservices that dealt with notifications and alerts. We used OpenShift to deploy these microservices, which handle and deliver notifications using publish-subscribe models.
  • We had to expose an API to consumers via MTLS, which was implemented using Server secret integration in OpenShift. We were then able to deploy the APIs on OpenShift with API security.
  • We integrated Splunk with OpenShift to view the logs of our applications and gain real-time insights into usage, as well as provide high availability.
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Cons
Google
  • The UI can be made simpler. Currently the UI is bloated and it takes time to find out what you want
  • More integrations with container registry providers (ECR, dockerhub)
  • Better permissions UX. Currently GCP requires service accounts to be used with cloud products, the experience adding/removing permissions is difficult to navigate
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Red Hat
  • OpenShift virtualization has a little room for improvement. I'm coming from it as a Rev customer. There's some things in that OpenShift virtualization that were in Rev that I would like to see in OpenShift virtualization. I realized that they're chasing the VMware crowd and that's fine, but from us old Rev customers, we'd like to see some things that was in Rev around via migration and things of that nature that could be in OpenShift virtualization, I hope is being planned to be put in.
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Likelihood to Renew
Google
We definitely need to renew it because we dont own our own infrastructure and storage and we are happy with Cloud Run features
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Red Hat
OpenShift is really easy of use through its management console. OpenShift gives a very large flexibility through many inbuilt functionalities, all gathered in the same place (it's a very convenient tool to learn DevOps technics hands on) OpenShift is an ideal integrated development / deployment platform for containers
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Usability
Google
The UI/console is great... the documentation is top-notch for developers, but the CLI itself when you have to script around it is very complex and easy to forget some options... the downside of a generic command line client.
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Red Hat
The virtualization part takes some getting used to it you are coming from a more traditional hypervisor. Customization options are not intuitive to these users. The process should be more clear. Perhaps a guide to Openshift Virtualization for users of RHV, VMware, etc. would ease this transition into the new platform
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Reliability and Availability
Google
Not seen any major issues when we run applications its good
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Red Hat
Redhat openshift is generally reliable and available platform, it ensures high availability for most the situations. in fact the product where we put openshift in a box, we ensure that the availability is also happening at node and network level and also at storage level, so some of the factors that are outside of Openshift realm are also working in HA manner.
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Performance
Google
Initially we felt slow but slowly it picked up and easy to manage
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Red Hat
Overall, this platform is beneficial. The only downsides we have encountered have been with pods that occasionally hang. This results in resources being dedicated to dead or zombie pods. Over time, these wasted resources occasionally cause us issues, and we have had difficulty monitoring these pods. However, this issue does not overshadow the benefits we get from Openshift.
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Support Rating
Google
No answers on this topic
Red Hat
Every time we need to get support all the Red Hat team move forward looking to solve the problem. Sometimes this was not easy and requires the scalation to product team, and we always get a response. Most of the minor issues were solved with the information from access.redhat.com
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In-Person Training
Google
No answers on this topic
Red Hat
I was not involved in the in person training, so i
can not answer this question, but the team in my org worked directly
with Openshift and able to get the in person training done easily, i did not
hear problem or complain in this space, so i hope things happen
seamlessly without any issue.
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Online Training
Google
No answers on this topic
Red Hat
We went thru the training material on RH webesite, i think its very descriptive and the handson lab sesssions are very useful. It would be good to create more short duration videos covering one single aspect of openshift, this wll keep the interest and also it breaks down the complexity to reasonable chunks.
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Implementation Rating
Google
I was involved in the initial implementation setup, Its easy with the given documentaiton we can do ourself. Not that critical
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Red Hat
The learning curve is quite high but worth it.
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Alternatives Considered
Google
AWS Lambda supports code zip package, enabling lower cold start time. Also, AWS Lambda pricing is much simpler, easier to understand.
Other than that, the 2 products are very similar, including the Docker image support: the image must be built based on proprietary base image.
Obviously, if your other services are running in GCP, then Google Cloud Run is your only choice for tight integration, & private networking.
Read full review
Red Hat
The Tanzu Platform seemed overly complicated, and the frequent changes to the portfolio as well as the messaging made us uneasy. We also decided it would not be wise to tie our application platform to a specific infrastructure provider, as Tanzu cannot be deployed on anything other than vSphere. SUSE Rancher seemed good overall, but ultimately felt closer to a DIY approach versus the comprehensive package that Red Hat OpenShift provides.
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Contract Terms and Pricing Model
Google
Not part of purchase.
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Red Hat
It's easy to understand what are being billed and what's included in each type of subscription. Same with the support (Std or Premium) you know exactly what to expect when you need to use it. The "core" unit approach on the subscription made really simple to scale and carry the workloads from one site to another.
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Scalability
Google
It has good auto scale feature and reliable also
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Red Hat
This is a great platform to deployment container applications designed for multiple use cases. Its reasonably scalable platform, that can host multiple instances of applications, which can seamlessly handle the node and pod failure, if they are configured properly. There should be some scalability best practices guide would be very useful
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Professional Services
Google
We have very good support when needed
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Red Hat
No answers on this topic
Return on Investment
Google
  • Built in support for auto scaling helps reduce operational overhead
  • Any application performance issues can be addressed quickly by allocating more resources while a proper fix can be planned and rolled out later
  • Using Google Cloud Run enables development of microservices which provides granular control for scaling critical services in the platform
Read full review
Red Hat
  • All of the above. Red Hat OpenShift going into a developer-type setting can be stood up very quickly. There's a very short period to have developers onboard to it and they're able to become productive much faster than a grow your own type solution.
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ScreenShots