Google Compute Engine vs. IBM Cloud Foundry

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Compute Engine
Score 8.3 out of 10
N/A
Google Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.
$0.01
Hour
IBM Cloud Foundry
Score 6.0 out of 10
N/A
IBM Cloud Foundry is an IBM version of the open-source platform designed for building, testing, deploying, and scaling applications. Enterprises can run Cloud Foundry in a public isolated environment, while natively integrating with other IBM Cloud services, such as AI, Blockchain, and IoT.
$0.07
Per GBH
Pricing
Google Compute EngineIBM Cloud Foundry
Editions & Modules
Preemptible Price - Predefined Memory
0.000892 / GB
Hour
Three-year commitment price - Predefined Memory
$0.001907 / GB
Hour
One-year commitment price - Predefined Memory
$0.002669 / GB
Hour
On-demand price - Predefined Memory
$0.004237 / GB
Hour
Preemptible Price - Predefined vCPUs
0.006655 / vCPU
Hour
Three-year commitment price - Predefined vCPUS
$0.014225 / CPU
Hour
One-year commitment price - Predefined vCPUS
$0.019915 / vCPU
Hour
On-demand price - Predefined vCPUS
$0.031611 / vCPU
Hour
Community Runtimes
$0.07
Per GBH
Offerings
Pricing Offerings
Google Compute EngineIBM Cloud Foundry
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsPrices vary according to region (i.e US central, east, & west time zones). Google Compute Engine also offers a discounted rate for a 1 & 3 year commitment.
More Pricing Information
Community Pulse
Google Compute EngineIBM Cloud Foundry
Considered Both Products
Google Compute Engine
Chose Google Compute Engine
Cloud providers offering virtual machines are quite common. I think, Google, however, is arguably one of the top players in the market, with some of the largest (if not the largest) and most advanced server farms in the world. If you're looking for reliability and cost …
Chose Google Compute Engine
Google Cloud SQL, Google Cloud Storage, Google Cloud Virtual Private Cloud (VPC) and Google Cloud Deployment Manager
Chose Google Compute Engine
The perfect blend of setup flexibility, costing and trust of Google could be my answer to the comparison. This being a server backed service so, ruling out the functions. The Setup flexibility and speed set the GCE apart from Kubernetes. Compliance, regulation and the security …
Chose Google Compute Engine
We have tried using DigitalOcean droplets for some of our minor and non critical VMs. In our experience, Google Compute Engine fares well in comparison the DigitalOcean droplets as they provide better availability, better support and in general, a better experience.
Chose Google Compute Engine
As far as user-friendliness is concerned, I personally rank Google Cloud above both AWS and Azure. Their user interface makes it easy to manage, which is important.
Chose Google Compute Engine
I find Google Compute Engine to be much easier to use than Amazon's EC2 service. The console makes much more sense, permission management is much cleaner, and I'd say the other categories feel on par with EC2: performance, how fine-grained the settings are, connecting to …
Chose Google Compute Engine
The obvious and natural alternatives to GCE are AWS EC2 and Azure VMs. I would say all three are more similar than not. Picking one will most likely depend on what platform you're on already, where your running services are, and which one is more familiar to your team.
Chose Google Compute Engine
Comparabale to AWS EC2. We selected GCE because of the out-of-the-box K8 engine setup. On AWS, I find it a bit tedious.
Chose Google Compute Engine
When configuring Amazon ECS, it is a bit confusing as you are not able to find the actual issue. You need to enable Additional AppInsights to get detailed level info, which is not a concern when configuring on the Instance Level. Moreover, Azure VM does not provide an …
Chose Google Compute Engine
The Google Cloud computing engine is fair at the top because it bills customers, automatic discounting for extended use, and how fast it can be turned on. We enjoy things around setting it up very easily via APIs and CLI commands, and with the always-on recommendations from …
Chose Google Compute Engine
I have utilised Google Compute Engine in addition to Amazon EC2. Both exhibit excellent performance in terms of consumption, speed, and efficiency.My decision to adopt Google Compute Engine was solely based on how user-friendly it is. more basic UI/UX than EC2.Google's customer …
Chose Google Compute Engine
Google Compute Engine is a different animal than GKE, used for different purposes. Compares 1:1 with ECS, and is an equivalent product.
Chose Google Compute Engine
Ec2 has much more compatibility with different tech stacks than Google Compute Engine.
Chose Google Compute Engine
The price difference is not very high between them. Both of them provide good services.
Chose Google Compute Engine
Amazon Elastic Compute Cloud (EC2), Amazon Elastic Kubernetes Service (EKS), Azure VMware Solution and Azure Kubernetes Service (AKS)
Chose Google Compute Engine
Google Compute Engine provides on-demand computing resources that are easy to scale up or down according to my organization needs. This allows our business to quickly adapt to changes in demand without having to invest in additional hardware. It also offers a very competitive …
Chose Google Compute Engine
While Amazon EC2 is the best tool for developers to build an app and make it live, It has some downsides too. EC2 requires so much development while Google Compute Engine makes it easy to build an app within a days. EC2 pricing also relatively high compare to Google Compute …
Chose Google Compute Engine
GCE is available in 3 different regions whereas Ec2 is available in 11 different regions. The compute resources offered by the GCE has lower maximum capacity compared to AWS Ec2. The pricing model of GCE offers first 10 mins free and then charging in increments of 10 mins.
Both …
Chose Google Compute Engine
I prefer the Compute Engine Over these as it provides us with Better Scalability, Performance, and Reliability Security-related Issues don't arise with the Compute Engine, but yes, in terms of accessing or running, it can be improved a bit as compared to EC2 offered by AWS.
Chose Google Compute Engine
the main reason of choosing GCE is availability and user friendly UI with a very good documentation and API explanations. Great visibility over the infra and security.
Chose Google Compute Engine
The features specific to Google Compute Engine vs Amazon EC2 along with cost and availability are comparable, there may be other services within the vendor which may mean that one is more suitable for specific applications than the other one. We have used both for different …
Chose Google Compute Engine
Google was easy to start with in terms of ease of use and support access.
Chose Google Compute Engine
Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine learning for ease of usability.

It's always good to have an eco-system of products from Google as it's one of the most used search engine and …
Chose Google Compute Engine
AWS has become the de facto standard. Skills in Google Compute Engine and AWS are not easily transferable. Still, after getting to know Google Compute Engine well, productivity can be very high and ROI impressive. There are many additional services offered around Google Compute …
Chose Google Compute Engine
We decided to use GCE mainly for its price and good looking UI.
IBM Cloud Foundry
Chose IBM Cloud Foundry
IBM Cloud Foundry is our first choice industry-standard platform as a service (PaaS) which has always provided us with quicker, simpler, and more consistent ways for the deployment of the cloud-native applications which in result saved us lots of time and money.
Chose IBM Cloud Foundry
IBM Cloud Foundry is easier and faster to get going and offers the same benefits we needed.
Chose IBM Cloud Foundry
Dynatrace Network Application Monitoring (NAM), formerly DCRUM, Azure Application Gateway and Azure App Service
Chose IBM Cloud Foundry
When I started with prototyping five months ago, I tried IBM Cloud Foundry and AWS, but finally I preferred IBM Cloud Foundry.

I selected IBM Cloud Foundry because IBM service CLI is quite simple to use in devops. It works with the recent versions of Python and it's not …
Chose IBM Cloud Foundry
Why I prefer IBM Cloud Foundry platform over AWS Elastic Beanstalk or Heroku Platform is the automation of development process and pushing of projects to cloud with clear step by step instructions - which is available on the documentation. I can say categorically, the terminal …
Chose IBM Cloud Foundry
IBM Cloud Foundry is easy to use and allows for fast and easy deployment of web apps.
Chose IBM Cloud Foundry
IBM Cloud Foundry provides many programming languages. It is a managed service and it allows us to use only the resouces without the managed overhead.
Chose IBM Cloud Foundry
Ease of use and all the capabilities we need are well built-in. Though we had to work around for p2p security and log draining which is not bad.
Chose IBM Cloud Foundry
Cloud Foundry has lot of benefits because platform as a service provided for the developers to implement applications based on the use cases. Different use cases required different buildpacks to run on. It has flexibility to code, push, and run flexibility. Provided ease of use …
Chose IBM Cloud Foundry
We have had to move our deployments to Kubernetes because we needed more reliability. We moved to Google because IBM rates and billing was so backward and expensive. Our client was also very angry at all the outages, lost revenue, production down time and inordinately expensive …
Chose IBM Cloud Foundry
IBM Cloud Foundry is among the services provided by our cloud provider. This is why we choose to go with Cloud Foundry.
Chose IBM Cloud Foundry
While we are still looking at kubernetes and other services, we will continue to use Cloud Foundry because of the advantages it provides. The support from IBM is good and take a lot of work that our developers and ops had to do away.
Chose IBM Cloud Foundry
AWS and Digital Ocean; Access to a larger pool of services; whatever your business needs, IBM provides it.
Chose IBM Cloud Foundry
It is a cloud-based solution and for all my customers that want to migrate to cloud, this is the solution that we are proposing to customers, as it provides a lot of benefits over private cloud. Scalability and resiliency are not a major challenge and it can be used with other …
Chose IBM Cloud Foundry
CF is what we initially went with to establish a development pipeline and start our cloud journey, now we are expanding this and although we are now pulling in many other tools and functions around CF, it is not being replaced. It stands out as having a key place working ‘with’ …
Chose IBM Cloud Foundry
IBM Cloud Foundry (CF) is simpler and there is a service model that fits most of our internal services. We are going to Loopback for API and Node.js and we have an easy path to go with Bluemix. It's a very easy way to start if you are moving to the cloud and mainly if you are …
Chose IBM Cloud Foundry
We chose to go with more bare metal options since Bluemix didn't really offer these at the time. It was simpler to get up and running with the bare metal service, and we felt that any problems we ran into would be a result of our own incompetence rather than problems with the …
Chose IBM Cloud Foundry
I have use EC2 and Microsoft's Azure. To me, both Azure and Bluemix were fantastic, but they each had some pros and cons. Azure had more services to offer, but their biggest flaw was in their inability to integrate and work with external platforms, APIs, Programs, etc.. Like …
Chose IBM Cloud Foundry
While IBM works well is when being used by large organizations, these other vendors work well with smaller organizations. We ended up being willing to pay more for Heroku, as they have such an easy-to-use service, and our deployments worked as expected every time.
Chose IBM Cloud Foundry
Used AWS and Azure.
AWS has more features and a far superior interface responsivesness. It's actually usable! That being said default configurations and menus in AWS are more cryptic then necessary.
Azure seems to be the gold standard for pre-configuration and ease of use. …
Chose IBM Cloud Foundry
Bluemix had a much easier route to get into the artificial intelligence side of things with Watson skills. It also seemed a lot more straightforward to use things like the Weather Channel data, sentiment analysis... etc., than the others. I'd also had a bad experience with AWS …
Chose IBM Cloud Foundry
Not even close--as noted in previous answers, we will likely use the competition before even considering IBM Bluemix.
Chose IBM Cloud Foundry
We have used Red Hat which does not do business in Australia with people like us. They were a promising service (PaaS) while we were able to use the free version but as soon as we needed access to serious mobile-first services we had to pay and their policy meant we had to …
Chose IBM Cloud Foundry
I like when the provider offers cloud deployment via standard orchestration mechanisms (like Docker, Kubernetes, DCOS) This is currently well covered by Azure. Amazon also has good flexibility (supports Kubernetes, DCOS). It's good that Bluemix added support for Docker and …
Features
Google Compute EngineIBM Cloud Foundry
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Google Compute Engine
7.3
Ratings
10% below category average
IBM Cloud Foundry
-
Ratings
Service-level Agreement (SLA) uptime8.10 Ratings00 Ratings
Dynamic scaling8.30 Ratings00 Ratings
Elastic load balancing8.00 Ratings00 Ratings
Pre-configured templates7.40 Ratings00 Ratings
Monitoring tools3.00 Ratings00 Ratings
Pre-defined machine images7.30 Ratings00 Ratings
Operating system support7.90 Ratings00 Ratings
Security controls7.90 Ratings00 Ratings
Automation7.90 Ratings00 Ratings
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Google Compute Engine
-
Ratings
IBM Cloud Foundry
7.6
Ratings
5% below category average
Ease of building user interfaces00 Ratings7.00 Ratings
Scalability00 Ratings8.50 Ratings
Platform management overhead00 Ratings8.50 Ratings
Workflow engine capability00 Ratings8.00 Ratings
Platform access control00 Ratings10.00 Ratings
Services-enabled integration00 Ratings7.50 Ratings
Development environment creation00 Ratings7.70 Ratings
Development environment replication00 Ratings6.40 Ratings
Issue monitoring and notification00 Ratings4.70 Ratings
Issue recovery00 Ratings7.50 Ratings
Upgrades and platform fixes00 Ratings7.50 Ratings
Best Alternatives
Google Compute EngineIBM Cloud Foundry
Small Businesses
DigitalOcean Droplets
DigitalOcean Droplets
Score 8.7 out of 10
AWS Lambda
AWS Lambda
Score 8.7 out of 10
Medium-sized Companies
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
Enterprises
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Compute EngineIBM Cloud Foundry
Likelihood to Recommend
7.6
(0 ratings)
8.5
(0 ratings)
Likelihood to Renew
9.0
(0 ratings)
7.0
(0 ratings)
Usability
9.0
(0 ratings)
-
(0 ratings)
Availability
8.6
(0 ratings)
-
(0 ratings)
Performance
8.4
(0 ratings)
-
(0 ratings)
Support Rating
10.0
(0 ratings)
-
(0 ratings)
User Testimonials
Google Compute EngineIBM Cloud Foundry
Likelihood to Recommend
It is excellent if you have any workloads that need raw computing or plan to have any state-full services running in your environment like DBs (for which you don't want to use Managed services), cache, etc. It also gives you complete control over which versions of software, OS, etc., you need, and thus, you can build anything and deploy it on GCE.
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IBM Cloud Foundry is a solid service from the IBM Cloud platform. It is easy to learn, and does not usually require you to make drastic changes to your existing applications. It is especially good for new applications that are cloud native, or micro-services, that can be easily updated and deployed. With its blue/green deployment, you can achieve 0 downtime for your customers.
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Pros
  • A simple web-based interface that is a breeze to train new engineers to use. Our experienced engineers never have trouble finding or doing anything on GCE.
  • Sustained use and Committed use discounts mean we get top-tier VMs for an incredibly competitive price.
  • Wonderful identity and access management that gives us peace-of-mind when granting access to machines to contractors and other 3rd parties.
  • Fast VMs, lastest in hardware, and enough RAM to power even the hungriest of our services.
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  • Intuitive user interface makes it easy for anyone to use, regardless of their professional background.
  • A lot of the services integrate well with external platforms, APIs, and programs, not just IBM services. A lot of the competitors in this space lack this ability.
  • Maybe it is just our contract in particular, but support and help is always made available.
Read full review
Cons
  • The L7 load balancer can be difficult to get set up. It's limited in its functionality, especially with the container engine.
  • It's hard to find certain objects on the web console. Often times the things I need to get to are buried in advanced menus.
  • Google's decision to only support MySQL on their relational DB service means that I have to manage Postgres instances in Compute on my own, managing everything from storage to backups.
Read full review
  • Sometimes the API Connect GUIs don't cleanly disengage after attaching models or updating schema and it is hard to know what has been written successfully and which (if any) models or tables were missed. I shouldn't have to manually check through a list of 377 models to find the ones in and out of a list on either models, folder or database tables. Printing a summary even in logs which did a "diff" sort of thing between 'task-set' and 'task-completed' (referring to attaching models or updating schema as tasks here as 'tasks').
  • Provide access to Postgres Database in Sydney datacentre for Australia.
  • Clearer documentation around setting up a secure (referring to SSL and certificate setup here) server on eg, chubby1.au-sydney.mybluemix.net.
  • Allow a ramp in pricing onto the Blockchains. We will not be able to afford it until quite a few years into production, even if we launch successfully.
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Likelihood to Renew
Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.
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No answers on this topic
Usability
Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.
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No answers on this topic
Reliability and Availability
Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes
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No answers on this topic
Performance
The raw computer power is excellent; our applications feel snappy, pages load almos instantly for our customers and so on. The primary reason it is not a perfect 10 is that the native tools for monitoring individual VM performance can be complex, making it challenging to easily diagnose specific resource bottlenecks without significant configuration
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No answers on this topic
Support Rating
  • The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
  • Google support was great and their presence on site was very helpful in dealing with various issues.
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No answers on this topic
Alternatives Considered
When configuring Amazon ECS, it is a bit confusing as you are not able to find the actual issue. You need to enable Additional AppInsights to get detailed level info, which is not a concern when configuring on the Instance Level. Moreover, Azure VM does not provide an in-browser option; instead, it is Azure Bastion, but for that, you have to enable a dedicated subnet, which is a bit unnecessary.
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IBM Cloud Foundry is our first choice industry-standard platform as a service (PaaS) which has always provided us with quicker, simpler, and more consistent ways for the deployment of the cloud-native applications which in result saved us lots of time and money.
Read full review
Scalability
It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.
Read full review
No answers on this topic
Return on Investment
  • Scalability means flexibility and less upfront costs
  • Can become expensive when hard set compute requirements are clear, but things like Spot VMs can help here too, or just having your own infrastructure and scaling up with Google. This is for more advanced cases though
  • Ramp up time is long, but after that it is quick to do many things and ROI is awesome
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  • This was the founding solution used to allow us to move in to and test out a cloud pipeline. This is what paved the way for a full production cloud solution to be possible.
  • Having Cloud Foundry at the base of our development and sandpit environment, segregated away from our standard on premise solution has moved away red tape and ensured an agile way forward.
Read full review
ScreenShots

Google Compute Engine Screenshots

Screenshot of How to choose the right VM
With thousands of applications, each with different requirements, which VM is right for you?Screenshot of documentation, guides, and reference architectures
Migration Center is Google Cloud's unified migration platform with features like cloud spend estimation, asset discovery, and a variety of tooling for different migration scenarios.