Google Cloud Platform vs. IBM Cloud Code Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Platform
Score 8.9 out of 10
N/A
Google Cloud Platform is a suite of cloud computing services used to build apps or take advantage of cloud infrastructural services, achieve legacy infrastructure modernization, or manage enterprise data and analytic needs.
$0
(25+ apps are currently available at no cost)
IBM Cloud Code Engine
Score 9.6 out of 10
N/A
IBM Cloud Code Engine is a fully managed, serverless platform that unifies the deployment of containers and applications including web apps, microservices, event-driven functions, or batch jobs. This serverless compute service aims to remove the burden of building, deploying, and managing workloads in Kubernetes so users can focus on writing code and not on the infrastructure that is needed to host it. With IBM Cloud Code Engine users can run any workload…N/A
Pricing
Google Cloud PlatformIBM Cloud Code Engine
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Cloud PlatformIBM Cloud Code Engine
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Google Cloud PlatformIBM Cloud Code Engine
Features
Google Cloud PlatformIBM Cloud Code Engine
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Google Cloud Platform
7.7
4 Ratings
7% below category average
IBM Cloud Code Engine
-
Ratings
Service-level Agreement (SLA) uptime8.13 Ratings00 Ratings
Dynamic scaling7.93 Ratings00 Ratings
Elastic load balancing7.53 Ratings00 Ratings
Pre-configured templates6.43 Ratings00 Ratings
Monitoring tools8.03 Ratings00 Ratings
Pre-defined machine images6.33 Ratings00 Ratings
Operating system support9.04 Ratings00 Ratings
Security controls9.04 Ratings00 Ratings
Automation7.43 Ratings00 Ratings
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Google Cloud Platform
-
Ratings
IBM Cloud Code Engine
6.6
15 Ratings
16% below category average
Scalability00 Ratings6.515 Ratings
Services-enabled integration00 Ratings6.815 Ratings
Best Alternatives
Google Cloud PlatformIBM Cloud Code Engine
Small Businesses
DigitalOcean Droplets
DigitalOcean Droplets
Score 9.7 out of 10
AWS Lambda
AWS Lambda
Score 8.3 out of 10
Medium-sized Companies
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.0 out of 10
IBM Cloud Private
IBM Cloud Private
Score 9.6 out of 10
Enterprises
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.0 out of 10
IBM Cloud Private
IBM Cloud Private
Score 9.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud PlatformIBM Cloud Code Engine
Likelihood to Recommend
8.7
(4 ratings)
6.8
(15 ratings)
Likelihood to Renew
-
(0 ratings)
8.2
(1 ratings)
Usability
9.1
(3 ratings)
6.2
(11 ratings)
User Testimonials
Google Cloud PlatformIBM Cloud Code Engine
Likelihood to Recommend
Google
When most of our stuff is in Google Cloud Platform, it works great to integrate and cross/share data that is all in Google Cloud Platform or BigQuery. It has simplified things from a permissions perspective as well. I'd say it is less appropriate when trying to test something quickly locally, or when half your stuff is in AWS or another provider.
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IBM
It would be a good solution for running serverless applications. Because infrastructure setup and maintenance expenses can be avoided, the investment will pay for itself. The time to value is short, allowing IT to respond to business demands quickly. It aided us in customizing security as well as operating a personal project using to autoscale up and down approach. Also, because there isn't much hassle, items can be pushed into production as soon as possible. Simply push a container, create an application, and you're ready to go. But, It is less suited when you have a static machine or need to keep data in some way and do not want to utilize network storage or a database.
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Pros
Google
  • Easy to set up
  • Affordable use of the tool
  • Easy to access billing
  • Reliable service
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IBM
  • Managed Environment for partners and customers - shifting skills and speed to CSP
  • A variety of programming model support
  • Elastic scalability for cloud native development and speed
  • Flexible consumption model
  • Containerized workloads with horizontal scalability
  • Here is an example - live demo walk-thru delivered to partners and community:
  • https://www.youtube.com/watch?v=MCBClYgpDFg
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Cons
Google
  • The UI is so confusing. The console is good, but it is like a maze. There are too many menus and settings, and things do not work as expected. It takes time to get friendly, and it is not friendly for new users.
  • Support experience: Sometimes, you get a great engineer, but other times, it's very difficult to talk with them as they are unable to respond as expected and solve issues late.
  • Region and zone are issues, as not all services are available in all regions, which is lacking when deploying something in the same region or zone.
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IBM
  • the pricing structure is complicated, and the servers are expensive. I really think they should offer better pricing options and support for more languages
  • sometimes the servers go down, and they take too long to respond to support tickets
  • uploading documents is slow since I have to do it one by one, making the process much longer than it should be
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Likelihood to Renew
Google
No answers on this topic
IBM
Since this capability supports a wide variety of use cases - all on non proprietary and open technology based frameworks
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Usability
Google
The Google Cloud Platform console is pretty slick for BigQuery especially. I have liked the visibility I get from using that and the way to integrate and see what's in our data lake. The logging console for tracking GKE jobs isn't quite as great, which is why it doesn't get a full 10.
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IBM
Consumers can purchase individual components as well as unlocking new bundles with special features and services including the extensive data management governance capabilities of the Automation range. Kubernetes containerizing for effective service implementation and an agile, flexible multi-cloud data program help both utilization expansion and deployment to be improved by this architecture.
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Alternatives Considered
Google
Google Cloud Platform is release later than Amazon web service, I think that why Google Cloud Platform can learned and optimized the Dashboard and some features that make it easy to use and can be cheaper than amazon web service.
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IBM
What impresses me most about IBM Cloud Code Engine is the container workload management capability and the Cloud services and dataflow monitoring functionalities. Data security and network security control via IBM Cloud Code Engine is quite excellent and very responsive data integration functions and the first deployment is not very technical.
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Return on Investment
Google
  • It allows us to focus our efforts on other, more important items at hand
  • It gives us an affordable option letting me know it's available to all users, not just the largest scale ones out there
  • The customer service is always helpful and reliable, along with the service itself which lets me focus on my work instead of worrying about the service.
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IBM
  • [One] positive is that we have one tool to learn (and a simple one) for all kinds of deployment. We need less people to maintain the system.
  • We have saved a lot of time on trouble shooting. It's clear how it works. It's "just" kubernetes..
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ScreenShots

Google Cloud Platform Screenshots

Screenshot of a view of Google Compute EngineScreenshot of the GCP consoleScreenshot of SLIsScreenshot of various homepages

IBM Cloud Code Engine Screenshots

Screenshot of