Cloud Foundry vs Google Compute Engine comparison

The compared Cloud Foundry and Google solutions aren't in the same category. Cloud Foundry is ranked #21 in PSP , and holds a 2.1% mindshare in the category. Google is ranked #14 in ISI , with an average rating of 8.0, and holds a 1.3% mindshare. Additionally, 33% of Cloud Foundry users are willing to recommend the solution, compared to 88% of Google users who would recommend it.

Cloud Foundry

Read 2 Cloud Foundry reviews

1,261 Views
1,211 Comparison Views

33% willing to recommend

Google Compute Engine

Read 17 Google Compute Engine reviews

1,587 Views
1,333 Comparison Views

88% willing to recommend

Cloud Foundry

Google Compute Engine

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Executive Summary

We performed a comparison between Cloud Foundry and Google Compute Engine based on real PeerSpot user reviews.

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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

Cloud Foundry

Average Rating

5.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

PaaS Clouds (21st)

Google Compute Engine

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Infrastructure as a Service Clouds (IaaS) (14th)

Mindshare comparison

While both are Cloud Services solutions, they serve different purposes. Cloud Foundry is designed for PaaS Clouds and holds a mindshare of 2.1%, up 1.6% compared to last year.
Google Compute Engine, on the other hand, focuses on Infrastructure as a Service Clouds (IaaS), holds 1.3% mindshare, up 0.7% since last year.

PaaS Clouds Mindshare Distribution
Product	Mindshare (%)
Cloud Foundry	2.1%
Amazon AWS	13.5%
Microsoft Azure	12.9%
Other	71.5%

PaaS Clouds

Infrastructure as a Service Clouds (IaaS) Mindshare Distribution
Product	Mindshare (%)
Google Compute Engine	1.3%
Amazon AWS	16.2%
Microsoft Azure	9.0%
Other	73.5%

Infrastructure as a Service Clouds (IaaS)

Featured Reviews

Carlos Bittrich

Technology Advisor at Fabrik

Quick to deploy but being deprecated by IBM and should be merged with Kubernetes

We enjoy the fast deployment. Cloud Foundry builds the runtime environment directly without requiring dependency management from the developer or administrator. The autoscaling is great. It is just a switch that needs to be turned on, and autoscaling starts working. At this moment, you begin to see different meters about usage that helps you in updating the scaling limits, which help you tune the running instances. Besides this, autoscaling can be scheduled, so in times of low activity, you can have lower limits or increase in advance for special dates. It has good logging. CF has logging events that help identify when a transaction runs and its response time which helps in monitoring execution.

Read full review

Abhigyan Kumar

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.

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

"Cloud Foundry builds the runtime environment directly without requiring dependency management from the user."

"IBM is the only vendor to offer integration with blockchain for smart contract development."

"My favorite component of IBM's solution is Node-RED, which greatly shortens the amount of time required to develop, test, and deploy new applications."

"By moving to IBM Cloud Foundry, we reduced our project time by a factor of two and decreased costs by a factor of four because it was a PoC."

"One of GCE's best features is the managed instance groups."

"In GCP, there's a custom configuration feature unlike AWS and Azure"

"The support for ephemeral instances has been particularly valuable for me. It allows me to significantly reduce costs for temporary virtual machines by automatically destroying them once they are no longer needed, which can result in cost savings of up to 90 percent. Additionally, the solution is easy to use."

"Compared to other IaaS providers, I believe that Google Compute Engine (GCE) stands out with the ability to customize the virtual machines."

"I recommend the tool to others since it has high availability features, scalability, and stability."

"Google is managing all hardware. You don't need to provision or pre-provision your computer engine."

"The solution is readily available, and software engineers can provision it. It is scalable and allows self-service."

"For applications where you have large dynamic changes in load and storage, the cloud environment can be great because you pay for what you use and can take advantage of running up resources on demand."

More Google Compute Engine pros

Cons

"After the initial excitement period with Node-RED is over, you crave the need of additional integrations to third-party services."

"In IBM Cloud, the product has been deprecated in favor of Kubernetes, which is a more complicated infrastructure to manage."

"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."

"The biggest problem is that it's got a very archaean and complex security environment that has to be very carefully set up and is easy to break."

"I rate the product's stability around five to six out of ten."

"From my personal perspective, I suggest that while setting up Google Compute Engine, the process is hard compared to AWS."

"Google has a lack of focus on their products."

"It is not very user-friendly for non-experienced users"

"The licensing process is not a very straightforward process."

"At this point there is no ROI unless the business model fundamentally changes."

More Google Compute Engine cons

Pricing and Cost Advice

"The pricing models should be reworked to the needs of a wider range of companies. Some customers will not be able to afford it until quite a few years into production, even after good PoC results and a successful launch."

"IBM has a free tier and payment option depending on the products selected."

"You are allocated a minimum amount of resources in the free tier. This seems fair and highly scalable, as you pay per usage as per cloud pricing schemes."

"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."

"I rate GCE's pricing a five out of ten since it's affordable."

"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."

"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."

"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."

"Google Compute Engine's pricing is flexible and the best of all other alternatives."

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

Manufacturing Company

11%

Energy/Utilities Company

Comms Service Provider

Manufacturing Company

25%

Construction Company

14%

Financial Services Firm

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	4
Large Enterprise	8

Questions from the Community

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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...

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What needs improvement with Google Compute Engine?

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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.

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Comparisons

Amazon AWS vs Cloud Foundry

Compared 18% of the time

Pivotal Cloud Foundry vs Cloud Foundry

Compared 13% of the time

Red Hat OpenShift vs Cloud Foundry

Compared 12% of the time

Microsoft Azure vs Cloud Foundry

Compared 10% of the time

Mendix vs Cloud Foundry

Compared 2% of the time

More Cloud Foundry Competitors

VMware Cloud Foundation vs Google Compute Engine

Compared 11% of the time

Oracle Cloud Infrastructure (OCI) vs Google Compute Engine

Compared 10% of the time

Microsoft Azure vs Google Compute Engine

Compared 9% of the time

SAP S4HANA on AWS vs Google Compute Engine

Compared 9% of the time

Akamai Connected Cloud (Linode) vs Google Compute Engine

Compared 8% of the time

More Google Compute Engine Competitors

Product Reports

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PaaS Clouds

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Buyer's Guide

Google Compute Engine

April 2026

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Also Known As

No data available

GCE

Overview

Cloud Foundry is an open-source platform as a service (PaaS) that simplifies application deployment and management across various clouds. It enables developers to focus on coding by automating the underlying infrastructure management.

Cloud Foundry offers a robust environment where developers can build, test, deploy, and scale applications efficiently. It removes the complexity of setting up infrastructure, providing a consistent development experience across different platforms. It supports a wide range of programming languages and frameworks, which makes it versatile for developers working in diverse environments. The platform's container-based architecture helps ensure that applications can scale seamlessly while maintaining performance and reliability.

What are the standout features of Cloud Foundry?

Multi-Cloud Compatibility: Supports deployment across major cloud providers ensuring flexibility and choice.
Continuous Delivery: Integrates seamlessly with CI/CD pipelines to facilitate automated testing and deployment.
Built-in Logging and Monitoring: Offers tools for thorough monitoring and logging, ensuring application health.
Scalability: Provides easy scaling of applications to manage fluctuating workloads.
Container-Based Architecture: Utilizes containers to ensure consistent deployment and performance.

What benefits should users look for in reviews?

Cost Efficiency: Savings achieved through decreased infrastructure management costs.
Developer Productivity: Enables faster development cycles due to streamlined processes.
Operational Transparency: Enhanced monitoring and logging features that provide clear insights.
Flexibility to Innovate: Ability to quickly deploy and test new ideas without infrastructure concerns.
Robust Ecosystem Support: Peer and vendor support to enhance application development processes.

In industries such as finance, healthcare, and retail, Cloud Foundry is implemented to enhance agile development practices. Financial institutions use it for rapid prototyping, allowing them to respond swiftly to market changes. Healthcare providers leverage its security features to maintain data privacy while deploying applications. Retail businesses benefit from its scalability to manage peak shopping periods effortlessly.

Cloud Foundry

Google Compute Engine provides scalable virtual machines for hosting applications and services with integration into Google's ecosystem. Offering cost-saving options and customizable machine configurations, it supports high availability, effective migration, and flexible resource allocation.

Google Compute Engine stands out by offering seamless integration with Google services and cost-effective options such as Spot VMs and auto-scaling. With SSH access, customizable machine configurations, managed instance groups, and robust API integration, it provides a powerful platform. Enhanced by comprehensive documentation, it supports businesses in their cloud computing and storage requirements. While it is a robust solution, enhancements are needed in SQL query construction, user interface for non-tech users, multi-region support, and container deployment UI. Simplification of security setups and licensing processes, including BYOL, and improvements in hardware availability outside North America could enhance functionality further. Users benefit from its networking capabilities across multiple regions and features like instance templates and managed instances for consistent configurations and high availability, making it a reliable solution for testing, disaster recovery, and migrating workloads from on-premises environments.

What are the key features of Google Compute Engine?

Seamless Google Ecosystem Integration: Offers integration with Google's suite of services.
Cost-Saving Options: Provides Spot VMs and auto-scaling capabilities.
Customizable Configurations: Users can customize machine setups to their needs.
Robust Networking: Supports networking across multiple regions with load balancing.
Managed Instance Groups: Ensures consistent configurations and high availability.

What benefits can users look for in reviews?

Cost Efficiency: Potential for significant cost savings with Spot VMs and auto-scaling.
Scalability: The ability to scale resources up or down based on demand.
High Availability: Managed instance groups ensure reliability and uptime.
Effective Migration Tools: Facilitates seamless migration from on-premises environments.
Flexible Resource Allocation: Users can allocate resources as needed.

In industries such as technology and e-commerce, Google Compute Engine facilitates rapid deployment of virtual machines for hosting applications and services. It supports efficient testing, disaster recovery operations, and workload migration, making it a valuable asset in dynamic business environments that demand reliable cloud solutions.

Google

Sample Customers

Grape Up, c-Com, KONE, TITAN, CSAA, Bosch, Allstate, Verizon, West Corp., Telstra

Allthecooks, BetterCloud, Bluecore, Cosentry, Evite, Ezakus, HTC, Infectious Media, iStreamPlanet, Mendelics, SageMathCloud, Sedex, Treeptik, Wibigoo, Wix, zulily, Zync

Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Red Hat and others in PaaS Clouds. Updated: April 2026.

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