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 Platform
IBM Cloud Code Engine
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Cloud Platform
IBM Cloud Code Engine
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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More Pricing Information
Community Pulse
Google Cloud Platform
IBM Cloud Code Engine
Features
Google Cloud Platform
IBM 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) uptime
8.13 Ratings
00 Ratings
Dynamic scaling
7.93 Ratings
00 Ratings
Elastic load balancing
7.53 Ratings
00 Ratings
Pre-configured templates
6.43 Ratings
00 Ratings
Monitoring tools
8.03 Ratings
00 Ratings
Pre-defined machine images
6.33 Ratings
00 Ratings
Operating system support
9.04 Ratings
00 Ratings
Security controls
9.04 Ratings
00 Ratings
Automation
7.43 Ratings
00 Ratings
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
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.
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.
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.
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
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.
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.
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.
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.
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.