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 VM VirtualBox
Score 9.3 out of 10
N/A
Open source, cross-platform, virtualization software that enables developers to deliver code faster by running multiple operating systems on a single device, used to deploy applications on-premises and to the cloud. Oracle VM VIrtualBox is Oracle's cross-platform virtualization offering, acquired with Sun Microsystems in early 2010. The software was originally developed by Innotek GmbH.
N/A
Pricing
Google Compute Engine
Oracle VM 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
No answers on this topic
Offerings
Pricing Offerings
Google Compute Engine
Oracle VM VirtualBox
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.
Google Compute Engine is so easy to implement and run. It doesn't require much knowledge to build an app since they provide multiple options to choose from with their prebuilt sample list. We can easily make customization on any website app we built for our client according to their needs and make changes if required.
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.
Easy and quick to use. Runs at sufficient speed even with 5/6 VMs running, and can handle a bridged network with ease. Easy to disassociate from the host to ensure the environment built within VB is quarantined should anything happen, meaning no risk to physical hardware. Quick to pick up. Quick to add new machines. Cloning feature very quick and comprehensive. I've never had a VM crash or freeze.
The Google Compute Engine is constantly up, healthy, and available. I have never experienced any issues with it loading or functioning.Since it is accessible everywhere in the world, it is always available with low latency for all regions.However, I have occasionally seen problems with various NoSQL databases' availability, such as MongoDB, in terms of speed.Overall though, it's always accessible.
GCE is a performant infrastructure. The GCE usage reports are readily available and the reports load time is insignificant. GCE exposes various REST API which allows the third part system to integrate with GCE. Many observability software like newRelic integrates with the GCE to offer monitoring of GCE
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).
