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
Hyper-V
Score 8.3 out of 10
N/A
N/A
$24.95
per month
Pricing
Google App Engine
Hyper-V
Editions & Modules
Starting Price
$0.05
Per Hour Per Instance
Max Price
$0.30
Per Hour Per Instance
Developer
$24.95
per month
Bronze
$49.00
per month
Silver
$89.00
per month
Gold
$135.00
per month
Platinum
$199.00
per month
Offerings
Pricing Offerings
Google App Engine
Hyper-V
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Google App Engine
Hyper-V
Features
Google App Engine
Hyper-V
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Google App Engine
9.5
32 Ratings
20% above category average
Hyper-V
-
Ratings
Ease of building user interfaces
9.018 Ratings
00 Ratings
Scalability
10.032 Ratings
00 Ratings
Platform management overhead
9.032 Ratings
00 Ratings
Workflow engine capability
8.024 Ratings
00 Ratings
Platform access control
10.031 Ratings
00 Ratings
Services-enabled integration
10.028 Ratings
00 Ratings
Development environment creation
10.029 Ratings
00 Ratings
Development environment replication
10.028 Ratings
00 Ratings
Issue monitoring and notification
9.028 Ratings
00 Ratings
Issue recovery
9.026 Ratings
00 Ratings
Upgrades and platform fixes
10.029 Ratings
00 Ratings
Server Virtualization
Comparison of Server Virtualization features of Product A and Product B
App Engine is such a good resource for our team both internally and externally. You have complete control over your app, how it runs, when it runs, and more while Google handles the back-end, scaling, orchestration, and so on. If you are serving a tool, system, or web page, it's perfect. If you are serving something back-end, like an automation or ETL workflow, you should be a little considerate or careful with how you are structuring that job. For instance, the Standard environment in Google App Engine will present you with a resource limit for your server calls. If your operations are known to take longer than, say, 10 minutes or so, you may be better off moving to the Flexible environment (which may be a little more expensive but certainly a little more powerful and a little less limited) or even moving that workflow to something like Google Compute Engine or another managed service.
Hyper-V makes a lot of sense in scenarios that will support several Windows Server-based OS virtual machines. The only limitation of those licensed VMs is the hardware that hosts the Hyper-V role. If you need to deploy many servers running Windows Server OS, it is worth the price. Hyper-V also does a great job of managing the server host's computational resources, including memory, CPU, network, and storage.
Easy to use GUI - very easy for someone with sufficient Windows experience - not necessarily a system administrator.
Provisioning VMs with different OSes - we mostly rely on different flavors of Windows Server, but having a few *nix distributions was not that difficult.
Managing virtual networks - we usually have 1 or 2 VLANs for our business purposes, but we are happy with the outcomes.
There is a slight learning curve to getting used to code on Google App Engine.
Google Cloud Datastore is Google's NoSQL database in the cloud that your applications can use. NoSQL databases, by design, cannot give handle complex queries on the data. This means that sometimes you need to think carefully about your data structures - so that you can get the results you need in your code.
Setting up billing is a little annoying. It does not seem to save billing information to your account so you can re-use the same information across different Cloud projects. Each project requires you to re-enter all your billing information (if required)
We manage Hyper-V using both System Center Virtual Machine Manager (SCVMM) and the in-build Hyper-V administration tool, the former being the main product we use as the built-in tool is very light on functionality, unlike VMware ESXi.
Management of storage is not great and quite a shift away from how VMware does it with ESXi; there is no separate panel/blade/window for LUNs/data stores, which means there is a lot of back and forth when trying to manage storage.
A dedicated client with all functionality in one place would be awesome.
Having the equivalent of ESXi's virtual console is something which is absolutely needed.
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.
Cheap and easy is the name of the game. It has great support, it doesn't require additional licenses, it works the same if it is a cluster or stand-alone, and all the servers can be centrally managed from a system center virtual machine manager server, even when located at remote sites.
I had to revisit the UI after a year of just setting up and forgetting. The UI got some improvements but the amount of navigation we have to go through to setup a new app has increased but also got easier to setup. Gemini now is integrated and make getting answers faster
It is quite intuitive. Junior techs are able to provision and administrate Hyper-V virtual server infrastructure with little to no additional training. Documentation from Microsoft is easily avaliable and decently well written. Hyper-V is reliable and does what it is supposed to. Can be admin from an intuitive gui, or aoutmated with extensive powershell.
In the past 2 years our Hyper-V servers have only had a handful of instances where the VM's on them were unreachable and the physical Hyper-V server had to be restarted. One time this was due to a RAM issue with the physical box and was resolved when we stopped using dynamic memory in Hyper-V. The other times were after updates were installed and the physical box was not restarted after the updates were installed.
Hyper-V itself works quickly and rarely gave performance issues but this can be more attributed to the physical server specifications that the actual Hyper-V software in my opinion as Hyper-V technically just utilizes config files such as xml, and a data drive file (VHD, VHDX, etc) to perform its' duties.
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.
I gave it a middle of the road rating - as far as getting direct help from Microsoft this never seems to happen. (Good luck getting ahold of them.) Getting help from online support forums is pretty much where I get all my help from. Hyper-V is used quite widely and anything you could need help with is out there and easily searched for on your favorite search engine.
We had in person training from a third party and while it was very in depth it was at a beginner's level and by the time we received the training we had advanced past this level so it was monotonous and redundant at that point. It was good training though and would have provided a solid foundation for learning the rest of Hyper-V had I had it from the beginning.
The training was easy to read and find. There were good examples in the training and it is plentiful if you use third party resources also. It is not perfect as sometimes you may have a specific question and have to spend time learning or in the rare case you get an error you might have to research that error code which could have multiple causes.
initial configuration of hyper-v is intuitive to anyone familiar with windows and roles for basic items like single server deployments, storage and basic networking. the majority of the problems were with implementing advanced features like high availability and more complex networking. There is a lot of documentation on how to do it but it is not seamless, even to experienced virtualization professionals.
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 compared to the other major players in Azure and AWS.
VMware is the pioneer of virtualization but when you compare it with Hyper-V, VMware lacks the flexibility of hardware customization and configuration options Hyper-V has also GPU virtualization still not adequate for both platforms. VMware has better graphical interface and control options for virtual machines. Another advantage VMware has is it does not need a dedicated os GUI base installation only needs small resources and can easily install on any host.
Nothing is perfect but Hyper-V does a great job of showing the necessary data to users to ensure that there is enough resources to perform essential functions. You can also select what fields show on the management console which is helpful for a quick glance. There are notifications that can be set up and if things go unnoticed and a Hyper-V server runs out of a resource it will safely and quickly shut down the VM's it needs to in order to ensure no Hardware failure or unnecessary data loss.
Effective integration to other java based frameworks.
Time to market is very quick. Build, test, deploy and use.
The GAE Whitelist for java is an important resource to know what works and what does not. So use it. It would also be nice for Google to expand on items that are allowed on GAE platform.
Massively positive impact on expenses in my company by reducing our storage needs drastically. We were able to reallocate the budget to upgrading our primary Hyper-V server with pure enterprise SSD's as we reduced the storage needs by over 50% and by this we increased performance by over 400%.
We have deployed more than 8 servers with EXTREMELY minimal cost using Hyper-V and not requiring another hardware server to host it. We have leveraged our hardware resources in our 2 servers so well that we were able to add many new services, not in place prior, as we did not have the servers to host them. Now with Hyper-V, we deployed many more servers in VM's, purchased OS's & CAL's, but did not need any hardware, which is the greatest expense of all.
With Hyper-V, our ROI was reduced from 36-40 months on our primary server, down to only 13 months by reducing costs of storage and adding so many more servers, by calculating the "would-be" cost of those servers that was avoided by creating them in Hyper-V.