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
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 templates7.50 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
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Score 8.7 out of 10
AWS Lambda
AWS Lambda
Score 8.6 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
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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.
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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.
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  • 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.
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Scalability
It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.
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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.
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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.