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
per month GB
Hyper-V
Score 8.3 out of 10
N/A
N/A
$24.95
per month
Pricing
Google Compute Engine
Hyper-V
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
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 Compute Engine
Hyper-V
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Prices 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.
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More Pricing Information
Community Pulse
Google Compute Engine
Hyper-V
Considered Both Products
Google Compute Engine
Verified User
Engineer
Chose Google Compute Engine
Neither of them has managed a user-friendly approach to setting up the global distribution of computing systems. Modern day business must be able to cater to the entire world instead of being regional to be competitive. Only Google offers this capability, hence why we have no …
Hyper-V is well suited for environmental testing purposes. Let's say you want to learn or test a new OS for a product or just for learning purposes. You are able to boot up this os in just a few mins on Hyper-V and then start working, testing, and learning with no money out of …
You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.
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.
Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs
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.
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.
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.
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.
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.
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.
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
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.
It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.
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.
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.
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.
Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.
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.
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.
