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
Oracle VirtualBox
Score 8.9 out of 10
N/A
Oracle VirtualBox is an open source, cross-platform, virtualization software, enables developers to deliver code faster by running multiple operating systems on a single device.
$0
per month
Pricing
Google Compute Engine
Oracle VirtualBox
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
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Offerings
Pricing Offerings
Google Compute Engine
Oracle VirtualBox
Free Trial
Yes
No
Free/Freemium Version
Yes
Yes
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.
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.
It is best suited when you want to have different operating systems on your laptop or desktop. You can easily switch between operating systems without the need to uninstall one. In another scenario, if you expect some application to damage your device, it would be best to run the application on the VM such that the damage can only be done to the virtual machine. It is less appropriate when time synchronization is very important. At times the VMs run their own times differently from the host time and this may cause some losses if what you doing is critical. Another important thing to take note of is the licensing of the application you want to run your VM. Some licenses do not allow the applications to be run on virtual servers so it is not appropriate to use the VM at this time.
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
I have had issues in the past when it has come to resizing VM disk storage. The issue is entirely detailed here: https://www.virtualbox.org/ticket/9103 -- the problem was caused because of having existing snapshots (which error message output was not detailing). I haven't had to deal with the issue due to my dynamic disk sizes not being small from the start anymore (this is mostly an issue for my Windows VMs where the base disk may need significant size for the OS). It looks like, for a resize, that a merge of all snapshots has to occur first -- one user on that list details a workaround to maintain snapshots by cloning the VM. (Note: 5.2 was just released a few weeks ago, and looks like it should prevent the problem happening in the future by properly informing users that it isn't possible with snapshots).
Certain scenarios, like resizing disks, required dropping into a terminal as there were no options to previously do so via the GUI. According to some recent posts, I've seen that v5.2 has added disk management stuff like that to the GUI (or will be adding it). I'm comfortable with dropping into the terminal, but in a teaching scenario or when evaluating the learnability of the tools, it complicates things.
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.
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.
I love using the Graphical User Interface. The VirtualBox Manager is very easy to understand and use. You can quickly create, configure and manage all your virtual machines in one window. It makes operating virtual machines easy and simple. When using VBoxManage it gives the user comprehensive control over VirtualBox so that you can use automation and scripting at the command-line interface
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
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.
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.
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.
VirutalBox is very similar to using Vmware with the slight difference in appearance and what might be considered a less polished look. However, what it lacks in polish and looks it makes up for in functionality, easy of use and the wide range of operating systems and features it supports without the need of buying the full professional edition
The only problem I have found is that the deployment is dependent and intrinsically linked to the Host OS. This is different from bare metal solutions which remove that dependency on a Host OS. The latter is more reliable and removes a layer of potential failure.
Minimal-to-no support needed from the DevOps team.
Provides a direct and an easy way to access multiple VMs inside the same machines which enables performing various testing and QA tasks without the need to switch hardware.
Automatic provisioning using tools (esp. Vagrant) which enables developing a base image once, and allows for exporting/importing anywhere across the developers team.
Very cost-effective (no fees or monthly subscriptions).
