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Google App Engine vs Red Hat OpenShift comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 15, 2024

Review summaries and opinions

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

ROI

Sentiment score
4.9
Google App Engine reduces costs and enhances value, but effectiveness varies, relying on user understanding and optimal resource use.
Sentiment score
7.4
Red Hat OpenShift boosts productivity and ROI, with improved scalability, resource utilization, and reduced costs compared to VMware.
Once we deployed this same application as part of Google App Engine, the cost drastically reduced to just $120 for the small instance we use for our development.
Enterprise Cloud Architect at Johnson & Johnson Medtech
Operationally, it was efficient for us because we could easily spin up new versions to demonstrate new functionality without modifying the original environment.
Senior Software Engineer at Cimpress
Google App Engine offers discounts for high resource utilization, similar to committed use discounts for Compute Engine.
Associate Projects at Cognizant
With OpenShift combined with IBM Cloud App integration, I can spin an integration server in a second as compared to traditional methods, which could take days or weeks.
Platform Engineer & Manager at a computer software company with 51-200 employees
Moving to OpenShift resulted in increased system stability and reduced downtime, which contributed to operational efficiency.
Infrastructure Manager at Appzone Group
It is always advisable to get the bare minimum that you need, and then add more when necessary.
Vice President at a financial services firm with 10,001+ employees
 

Customer Service

Sentiment score
5.8
Google App Engine offers inconsistent support quality, with experiences varying by customer relationship, package level, and support needs.
Sentiment score
6.7
Red Hat OpenShift support is mixed, with praise for premium options but concerns over response times and documentation consistency.
They route us toward the appropriate team handling Google App Engine or other services, so when there is an issue, the respective team connects and provides support.
Enterprise Cloud Architect at Johnson & Johnson Medtech
The technical support was very quick and responsive, with a direct team line available.
Google invests in companies with technical expertise, offering connections to enterprise clients and technical support for their products.
Senior Regional Sales Manager at a tech services company with 1,001-5,000 employees
Red Hat's technical support is responsive and effective.
Infrastructure Manager at Appzone Group
I have been pretty happy in the past with getting support from Red Hat.
Manager IT Infrastructure at a government with 1,001-5,000 employees
Red Hat's technical support is good, and I would rate it a nine out of ten.
Senior Technical Lead at MORO
 

Scalability Issues

Sentiment score
6.3
Google App Engine scales well with automatic features, though flexible instance deployment and handling intensive requests require improvement.
Sentiment score
7.4
Red Hat OpenShift is scalable, easy to deploy, integrates well, supports thousands of users, and suits large organizations.
Google App Engine scales well in the standard environment, which automatically handles traffic without manual scaling.
Software Engineer (DevOps)
Google App Engine is highly scalable and can integrate easily with other applications.
Technical Lead at a consultancy with 10,001+ employees
With automatic scaling, Google Cloud handles the scaling process, which leads to my high rating.
Senior Engineer at Brillio
The on-demand provisioning of pods and auto-scaling, whether horizontal or vertical, is the best part.
Manager IT Infrastructure at a government with 1,001-5,000 employees
OpenShift's horizontal pod scaling is more effective and efficient than that used in Kubernetes, making it a superior choice for scalability.
Platform Engineer & Manager at a computer software company with 51-200 employees
Red Hat OpenShift scales excellently, with a rating of ten out of ten.
System Analyst at Freelancer
 

Stability Issues

Sentiment score
6.9
Google App Engine is highly stable, with minimal disruptions and quick issue resolution, praised for low maintenance requirements.
Sentiment score
7.6
Red Hat OpenShift is stable and reliable, despite past issues, with high resource needs for optimal performance.
I have not experienced any crashing or instability with Google App Engine.
Software Engineer (DevOps)
However, large code bases can still cause it to slow down.
Technical Lead at a consultancy with 10,001+ employees
I would rate the stability of Google App Engine a perfect 10 out of 10, as it is completely managed by Google.
Senior Engineer at Brillio
It provides better performance yet requires more resources compared to vanilla Kubernetes.
Platform Engineer & Manager at a computer software company with 51-200 employees
I've had my cluster running for over four years.
Infrastructure Manager at Appzone Group
It performs well under load, providing the desired output.
System Analyst at Freelancer
 

Room For Improvement

Google App Engine faces pricing, support, and scalability challenges, with limited language support, database options, and migration complexities.
Red Hat OpenShift faces challenges in usability, security, integration, and documentation, requiring enhancements in scaling, setup, and multi-cloud support.
It would be beneficial if Flex services could scale down to zero instances during periods of no traffic.
Senior Software Engineer at Cimpress
The pricing is higher compared to alternatives like Kubernetes and Compute Engine.
In the Flex environment, SSH access is not available for private instances.
Software Engineer (DevOps)
Learning OpenShift requires complex infrastructure, needing vCenter integration, more advanced answers, active directory, and more expensive hardware.
Platform Engineer & Manager at a computer software company with 51-200 employees
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.
Vice President at a financial services firm with 10,001+ employees
We should aim to include VMware-like capabilities to be competitive, especially considering cost factors.
System Analyst at Freelancer
 

Setup Cost

Google App Engine provides competitive pay-as-you-go pricing, affordable for light usage but higher for robust applications.
Red Hat OpenShift is seen as costly, with competitive enterprise pricing but restrictive for smaller organizations; alternatives may be cheaper.
For F1 usage with 256 MB, it is free.
I've never heard anyone express that the licenses are too expensive.
Senior Regional Sales Manager at a tech services company with 1,001-5,000 employees
My GCP billing is about 10 lakh INR per month, and Google App Engine contributes only 25,000 to 30,000 INR.
Software Engineer (DevOps)
Initially, licensing was per CPU, with a memory cap, but the price has doubled, making it difficult to justify for clients with smaller compute needs.
Senior Technical Lead at MORO
The pricing for Red Hat OpenShift is considered quite high.
Manager for Middleware at a computer software company with 1,001-5,000 employees
Red Hat can improve on the pricing part by making it more flexible and possibly on the lower side.
Manager IT Infrastructure at a government with 1,001-5,000 employees
 

Valuable Features

Google App Engine offers users scalability, reliability, and integration, focusing on development and reducing infrastructure management efforts.
Red Hat OpenShift excels with fast CI/CD, scalability, strong security, and seamless DevOps integration for large projects.
The solution offers scalability, autoscaling based on user demand, and security, as Google manages all updates and security patches.
I also appreciate the Google App Engine standard environment because it handles traffic scaling without manual intervention.
Software Engineer (DevOps)
Deploying code is straightforward without worrying about deployment or integration.
Technical Lead at a consultancy with 10,001+ employees
Because it was centrally managed in our company, many metrics that we had to write code for were available out of the box, including utilization, CPU utilization, memory, and similar metrics.
Vice President at a financial services firm with 10,001+ employees
The concept of containers and scaling on demand is a feature I appreciate the most about Red Hat OpenShift.
Manager IT Infrastructure at a government with 1,001-5,000 employees
A valuable feature of Red Hat OpenShift is its ability to handle increased loads by automatically adding nodes.
System Analyst at Freelancer
 

Categories and Ranking

Google App Engine
Ranking in PaaS Clouds
7th
Average Rating
8.2
Reviews Sentiment
6.3
Number of Reviews
36
Ranking in other categories
No ranking in other categories
Red Hat OpenShift
Ranking in PaaS Clouds
3rd
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
63
Ranking in other categories
Server Virtualization Software (11th), Container Management (10th), Hybrid Cloud Computing Platforms (5th), Agile and DevOps Services (1st)
 

Mindshare comparison

As of December 2025, in the PaaS Clouds category, the mindshare of Google App Engine is 2.1%, down from 2.5% compared to the previous year. The mindshare of Red Hat OpenShift is 10.5%, down from 11.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
PaaS Clouds Market Share Distribution
ProductMarket Share (%)
Red Hat OpenShift10.5%
Google App Engine2.1%
Other87.4%
PaaS Clouds
 

Featured Reviews

RK
Senior Engineer at Brillio
Have managed resources seamlessly thanks to robust platform capabilities
The areas of Google App Engine that I would to improve or enhance include its allowance for complete end-to-end deployment and scalability; however, it is manageable only for a few languages. For instance, it doesn't support languages C and C++, only basic support for Node.js, Java, and Ruby. It's not a comprehensive solution for all scenarios. Moreover, the security feature is based on IAM roles, but it should ideally be based on Active Directory (AD) roles. For IAM-based roles, we need to add the proper users and provide all security permissions manually. In an AD-based model, we would simply add users to a specific group, and all permissions would be inherited.
Pratul Shukla - PeerSpot reviewer
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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Use our free recommendation engine to learn which PaaS Clouds solutions are best for your needs.
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Comparison Review

it_user8586 - PeerSpot reviewer
Engineer at a tech consulting company with 51-200 employees
Aug 14, 2013
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Top Industries

By visitors reading reviews
Computer Software Company
12%
University
9%
Educational Organization
8%
Manufacturing Company
6%
Financial Services Firm
26%
Manufacturing Company
10%
Computer Software Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business15
Midsize Enterprise7
Large Enterprise13
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise4
Large Enterprise41
 

Questions from the Community

What do you like most about Google App Engine?
The product's setup and deployment phases are easy.
What is your experience regarding pricing and costs for Google App Engine?
I believe it is reasonably priced. I've never heard anyone express that the licenses are too expensive.
What needs improvement with Google App Engine?
The error logging system in Google App Engine could be enhanced. While there are troubleshooting documents with Google-defined error logs, identifying the exact root cause can be challenging. Often...
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 ...
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...
What do you like most about OpenShift?
OpenShift facilitates DevOps practices and improves CI/CD workflows in terms of stability compared to Jenkins.
 

Overview

 

Sample Customers

Khan Academy, Best Buy, Gigya, MetOffice, Getaround, Mimiboard, NewsLimited, WebFilings, and CloudLock.
UPS, Cathay Pacific, Hilton
Find out what your peers are saying about Google App Engine vs. Red Hat OpenShift and other solutions. Updated: December 2025.
879,259 professionals have used our research since 2012.