Google App Engine is Google Cloud's platform-as-a-service offering. It features pay-per-use pricing and support for a broad array of programming languages.
$0.05
Per Hour Per Instance
IBM Cloud Code Engine
Score 9.3 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 App Engine
IBM Cloud Code Engine
Editions & Modules
Starting Price
$0.05
Per Hour Per Instance
Max Price
$0.30
Per Hour Per Instance
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Pricing Offerings
Google App Engine
IBM Cloud Code Engine
Free Trial
No
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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Google App Engine
IBM Cloud Code Engine
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Google App Engine
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Chose Google App Engine
For our organization, we selected Google App Engine which provides a reliable and efficient way to create and deploy apps moreover it supports a lot of languages and provides automatic debugging of code which enables us to deploy code to production as soon as development is …
If you have a small team which is also responsible for development of the product then surely go for it. And if you have a larger team with dedicated person to take care of deployments. Go for cheaper options such as compute engine or AWS (be sure to do your research on pricing …
It's the manageability of the Google App Engine which made it a better option in our case. It's quite straightforward to deploy on App-Engine. No worries for monitoring setup
You can create and scale Kubernetes clusters quickly, but you have to keep an eye on that cluster. In-App Engine, you don't have to worry about infrastructure, but in some scenarios, Kubernetes fits better.
Google App Engine is the first product we picked up to store the mass data. Later we came to know that, firebase database is also similar to Google App Engine. But still, we didn't step into it. We will try it later.
Azure App Service is in par with Google App Engine although you may want to use Azure App Service if you are integrating with other Microsoft IT components, for example SQL Server. Google App Engine is great when in long run, you will be using Google cloud components, for …
App Engine is a much more streamlined system than EC2. There is a fundamental difference between them, but they are used for basically the same thing as far a I could tell -- to serve applications EC2 is certainly more complicated, but if offers more machine-level control if …
Google App Engine is very easy to use and mostly up to date makes it compatible with all old and new devices. The applications are very interactive and the prices are accessible for most users. The prices tend to get slightly expensive as we head on towards higher …
The two giants are Google and Amazon. Both are very similar however Google App Engine allows you to deploy your web applications through platforms like Python where as if you're using AWS, you have full control on the operating system services. Google is good because you pay as …
We were on another much smaller cloud provider and decided to make the switch for several reasons - stability, breadth of services, and security. In reviewing options, GCP provided the best mixtures of meeting our needs while also balancing the overall cost of the service as …
We commonly decide between App Service, Elastic Beanstalk, and App Engine. Normally, we do not have a strong preference for the services, it really comes down to whether or not there are other factors drawing us toward a particular platform. In the case of App Engine, it is a …
I think that Microsoft and Amazon are simply investing more in their offerings, and there are a bunch of cool PaaS solutions out there as well. Google App Engine is solid, and is probably the right choice for some projects. But ultimately one should evaluate each platform …
Google Apps is great for environments where the need for a more robust platform is not necessary if you are looking to have email and cloud collaboration enablement of your working staff. From the stand point of using both, I can see the value of both but it really depends on …
AWS and Heroku are both great, and I use them both extensively for different projects. Google App Engine was chosen because it is much more innovative than AWS, and because Heroku specializes in Ruby on Rails. Even though Heroku supports Java and other services, we feel Google …
With GAE it's a matter of "code your app and deploy it". You don't care on what servers or on how many servers it runs. System administration is done for you. With AWS you still have to be a system administrator with good knowledge and undestanding of load balancers, database …
You can spawn up your own cluster using Kubernetes or Container Engine which will scale automatically when configured properly, but you have to keep an eye on that cluster. In App Engine you don't have to worry about it at all, just ship your code and it will run.
We chose Google App Engine because it supplies the most infrastructure per dollar spent. It's much more expensive to use Amazon EC2 to scale to over a million users. Also, the engine's narrow language support system, while somewhat limiting, makes getting started quickly much …
We left Lotus Notes for the (more versatile) Google Apps. We could never recommend the closed architecture of Lotus Notes. We have evaluated Office 365 and believe the product is compelling. So compelling, that we may consider a platform change…
Google App Engine stands out since it offers everything as being a platform as a service. The other options I used before, such as classical development with servers available either in house or in the cloud still require a lot of management and the software frameworks …
IBM Cloud Satellite is distributed cloud platform while IBM Code Engine is serverless. They both has capabilities that are non overlapping and run on IKS/K8S.
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 …
If IBM wants to get ahead, it needs to add AI and make it seamless on the project configuration, real time chat with AI will help developers to increase speed and have less problems integrating the code into their business logic. There's no marketing using influencers, YT code …
Having only some hands-on with the other services, The cloud engine is considerably simpler to operate, with a very clear interface and management. Each application can be easily configured and altered without needing to know anything about different subscription tiers or the …
Cloud engine is much easier to use, and gives a very clear interface and control. Each application can be configured differently with ease and changed without having to know anything about different subscription levels or inner workings of the system. Just change the resource …
During software selection is always good to give different weight to each parameter of evaluation. Usually cost and performances are always having higher weight, but it's good not forget about support and integration. A scenario with a great tool, impossible to integrate in the …
Google App Engine is especially well suited for situations where there is a variable workload during the day, e.g. inbound task processing with task queues. In this situation queues can be setup with parameters governing the process speed/scaling which allows you to easily balance performance with cost and meet a good balance.
Looking for a reasonably priced and dependable cloud solution, I suggest IBM Cloud Virtual Servers to everyone. For businesses needing excellent uptime and performance free from the trouble of running actual servers, it's fantastic. However, it may not be the best choice if you need hands on support for server configurations.
Building an application that uses Google's Authentication, means users no longer need to remember an different user id and password. Once they are logged into to Google, they can seamlessly access your application hosted on Google App Engine.
Google App Engine automatically scales up and down. SO if your application receives a spike in user traffic, App Engine automatically launches additional instances of your application to cater for the increased traffic. Once App Engine detects that the spike is usage is over, it automatically scales down to handle the current traffic.
Google App Engine can be easily integrated with Google Cloud SQL, Google Compute Engine, Google Cloud Storage etc, so that you can build out a full application using one or more of Google's Cloud Platform products.
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
App Engine is a solid choice for deployments to Google Cloud Platform that do not want to move entirely to a Kubernetes-based container architecture using a different Google product. For rapid prototyping of new applications and fairly straightforward web application deployments, we'll continue to leverage the capabilities that App Engine affords us.
Google App Engine is very intuitive. It has the common programming language most would use. Google is a dependable name and I have not had issues with their servers being down....ever. You can safely use their service and store your data on their servers without worrying about downtime or loss of data.
The product Cloud features setting was not that tricky, and the functions are easy to manipulate and provide quality Cloud services. The data connectivity through IBM Cloud Code Engine is very simple and the transfer speed is very impressive. A/B Testing using IBM Cloud Code Engine is effective performed and data security is on top.
Good amount of documentation available for Google App Engine and in general there is large developer community around Google App Engine and other products it interacts with. Lastly, Google support is great in general. No issues so far with them.
App Engine is a much more streamlined system than EC2. There is a fundamental difference between them, but they are used for basically the same thing as far a I could tell -- to serve applications EC2 is certainly more complicated, but if offers more machine-level control if that's what you need. It can tend to cost more as well. App Engine is far more straightforward but there are limitations if you need to change the environment. But even then, Google Compute Engine also compares to EC2 and stays within GCP.
Having only some hands-on with the other services, The cloud engine is considerably simpler to operate, with a very clear interface and management. Each application can be easily configured and altered without needing to know anything about different subscription tiers or the system's inner workings. But in the case of Lambda, Depending on the situation, Code Engine will fetch your source code and generate the container image. Code Engine supports both Dockerfile and the Cloud-Native Build bundle, which is preferable. It is possible to create applications that send messages based on events.
IBM maintains the same high degree of security that has been essential for its operations since the dawn of the computing market while streamlining data governance in a real cloud model as a dependable business partner for organizations all across the globe.
Apart from providing the instruments needed for efficient work the user friendly interface helps non-IT professionals to understand the system in a limited period of time.
The latest IBM Cloud Code Engine design is based on an innovative approach to buying and bundling of products.