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Google Compute Engine vs Pivotal Cloud Foundry 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
8.6
Reviews Sentiment
6.9
Number of Reviews
17
Ranking in other categories
Infrastructure as a Service Clouds (IaaS) (14th)
Pivotal Cloud Foundry
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
15
Ranking in other categories
PaaS Clouds (14th)
 

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 1.2%, up 0.6% compared to last year.
Pivotal Cloud Foundry, on the other hand, focuses on PaaS Clouds, holds 6.2% mindshare, down 10.0% since last year.
Infrastructure as a Service Clouds (IaaS) Mindshare Distribution
ProductMindshare (%)
Google Compute Engine1.2%
Amazon AWS17.4%
Akamai Connected Cloud (Linode)10.2%
Other71.2%
Infrastructure as a Service Clouds (IaaS)
PaaS Clouds Mindshare Distribution
ProductMindshare (%)
Pivotal Cloud Foundry6.2%
Microsoft Azure14.5%
Amazon AWS13.6%
Other65.7%
PaaS Clouds
 

Featured Reviews

AK
Cloud Engineer at Global Payments Inc.
SSH access has simplified my backend deployments but setup and architecture still need improvement
Currently, I have not found much value in the features or capabilities of Google Compute Engine because I only use SSH access, as I have not used many of their services. It is already set up by a different team, and I have been using them as it is a normal case, similar to a normal Linux server. I have noticed a positive impact since the deployment of Google Compute Engine; it is simpler. However, for those who are not very much familiar with Google Cloud, it can, at times, be difficult. Also, the freebies are not much from Google's side, referring to the credits, so that users can become more familiar since there is a limited amount or it is case-dependent. Without trying Google Compute Engine totally, I cannot tell you much about it. From my personal perspective, I suggest that while setting up Google Compute Engine, the process is hard compared to AWS. The complexity increases, especially if we want to access the things over the API; we need to explicitly set up things and can only access the CLI environment of GCP, which is sometimes a hectic task.
reviewer2263239 - PeerSpot reviewer
Head of Engineering at a financial services firm with 10,001+ employees
PCF allows for fine-grained configuration, especially regarding scaling but routing limitations
Something that can be done better is canary deployment. So, right now, we're using blue-green deployment. The support for canary deployment would be nice. A few things, such as what OpenShift does better are cluster management. Like, you can manage the entire thing together. Currently, it's possible to manage all the clusters, especially when it comes to cluster management using straightforward configuration. As of now, we have to handle each application instance individually, which means servicing them one by one. It would be better if we could perform these actions as a group or in a more streamlined manner. One more downside is actually the cost of this environment. So, major downside of Pivotal, it's the cost. So, the runtime running costs are very high. Extremely high.

Quotes from Members

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

Pros

"The initial setup is reasonably straightforward. It's a handful of networks and a handful of computers."
"The solution helps to direct SSH into the machine at the click of a button. It also helps to deploy container images right from the UI. There is no need to manage the containers on the machine. I also like the tool’s Spot provision model."
"I recommend the tool to others since it has high availability features, scalability, and stability."
"The main motive for choosing Google Compute Engine is pricing."
"Google is managing all hardware. You don't need to provision or pre-provision your computer engine."
"One of GCE's best features is the managed instance groups."
"In GCP, there's a custom configuration feature unlike AWS and Azure"
"The most valuable feature is auto-scaling."
"Stability is not a concern with this product."
"The most valuable features of Pivotal Cloud Foundry are its ease of use and the command line interface has the ability to push instances to the cloud easily."
"The most valuable features are the monitoring and the deployment is easier."
"Pivotal Cloud Foundry is very robust, especially for building Java."
"PCF is open, so the applications run really smoothly and with little downtime."
"The solution is stable and resilient. In our company, we do not even see any challenges with the solution."
"It supports CI/CD, and is integrated with the CI/CD very well."
"We find its stability and scalability valuable."
 

Cons

"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."
"It is not very user-friendly for non-experienced users"
"There have been instances when a customer has tried to deploy a certain number of VMs inside a project, and they come across quota issues."
"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."
"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."
"Sometimes support takes time to reply."
"From my personal perspective, I suggest that while setting up Google Compute Engine, the process is hard compared to AWS."
"Google Compute Engine needs to have multi-region support. It would also be nice to have a tracking mechanism."
"Pivotal Cloud Foundry doesn't have certain advanced features."
"Pivotal Cloud Foundry could improve on the technology it is a bit complex."
"It is not straightforward to setup."
"Pivotal Cloud Foundry is not scalable, infinitely, because when you install it on a set of virtual machines it is very hard to scale. It's easy to scale on an application level, but not it is not similar to if you were using Amazon. Amazon you can scale thousands of applications."
"The user interface should be simpler to navigate because it t can take time for users to learn it."
"In the next release, I would like to see easy integration with external tools."
"Regarding the setup phase, every step is a hurdle. With Pivotal Cloud Foundry, I won't get any proper resources for that. Even if I Google it, there is no proper solution for Pivotal Cloud Foundry."
"There are no synthetic application monitoring and real-time monitoring features."
 

Pricing and Cost Advice

"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 is providing money for learning Google Compute Engine. They offer a $300 free trial to new customers. Any beginner can easily get started."
"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."
"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."
"I rate GCE's pricing a five out of ten since it's affordable."
"Google Compute Engine's pricing is flexible and the best of all other alternatives."
"The price of Pivotal Cloud Foundry could improve. However, in this category of solutions, they are all expensive."
"You're paying for the number of virtual machines you want to install in the installation."
"We do pay for the licensing cost because we have opted for a private cloud setup. So, it is a cloud setup, and we have to make payments based on the cloud size. I do not consider it very costly when comparing it to the market."
"The price of Pivotal Cloud Foundry is based on the customer's requirements. However, the price is comparable to other similar solutions."
"Licensing is on a monthly basis and right now we pay $24/month. There are no other costs over and above that."
"The pricing is on the higher side and there are cheaper options available."
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Top Industries

By visitors reading reviews
Manufacturing Company
29%
Financial Services Firm
7%
Performing Arts
6%
Computer Software Company
4%
Financial Services Firm
36%
Manufacturing Company
14%
Insurance Company
5%
Retailer
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise4
Large Enterprise8
By reviewers
Company SizeCount
Small Business5
Large Enterprise11
 

Questions from the Community

What is your experience regarding pricing and costs for Google Compute Engine?
Regarding the pricing and licensing of Google Compute Engine, when I refer to licensing, it implies the price or a credit-based system. While doing my personal projects, I prefer AWS over GCP and u...
What needs improvement with Google Compute Engine?
Currently, I have not found much value in the features or capabilities of Google Compute Engine because I only use SSH access, as I have not used many of their services. It is already set up by a d...
What is your primary use case for Google Compute Engine?
My usual use cases for Google Compute Engine involve deploying the backends and APIs only.
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...
 

Also Known As

No data available
PCF, Pivotal Application Service (PAS), Pivotal Container Service (PKS), Pivotal Function Service (PFS)
 

Overview

 

Sample Customers

Allthecooks, BetterCloud, Bluecore, Cosentry, Evite, Ezakus, HTC, Infectious Media, iStreamPlanet, Mendelics, SageMathCloud, Sedex, Treeptik, Wibigoo, Wix, zulily, Zync
Humana, Citibank, Mercedes Benz, Liberty Mutual, The Home Depot, GE, West Corp, Merrill Corporation, CoreLogic, Orange, Dish Network, Comcast, Bloomberg, Internal Revenue Service, Ford Motor Company, Garmin, Volkswagen, Solera, Allstate, US Air Force, Lockheed Martin, Boeing, ScotiaBank
Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Akamai and others in Infrastructure as a Service Clouds (IaaS). Updated: March 2026.
884,873 professionals have used our research since 2012.