Virtual Machines (VMs) are available on Microsoft Azure, providing what is built as a low-cost, per-second compute service, available via Windows or Linux.
$0
Per Hour
Google Compute Engine
Score 8.3 out of 10
N/A
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
Pricing
Azure Virtual Machines
Google Compute Engine
Editions & Modules
3 Year Reserved - Burstable VMs - B1S
$0.0038
Per Hour
Spot - General Purpose - Av2
$0.005
Per Hour
1 Year Reserved - Burstable VMs - B1S
$0.0059
Per Hour
Pay as You Go - Burstable VMs - B1S
$0.0075
Per Hour
Spot - Compute Optimized - Fsv2
$0.0104
Per Hour
Spot - General Purpose - Dv3
$0.0125
Per Hour
Spot - Memory Optimized - Ev3
$0.016
Per Hour
3 Year Reserved - Compute Optimized - Fsv2
$0.0307
Per Hour
3 Year Reserved - General Purpose - Dv3
$0.0369
Per Hour
3 Year Reserved - Memory Optimized - Ev3
$0.0481
Per Hour
1 Year Reserved - Compute Optimized - Fsv2
$0.05
Per Hour
1 Year Reserved - General Purpose - Dv3
$0.0548
Per Hour
1 Year Reserved - Memory Optimized - Ev3
$0.0753
Per Hour
Pay as You Go - Compute Optimized - Fsv2
$0.0846
Per Hour
Pay as You Go - General Purpose - Dv3
$0.096
Per Hour
Pay as You Go - Memory Optimized - Ev3
$0.126
Per Hour
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
Offerings
Pricing Offerings
Azure Virtual Machines
Google Compute Engine
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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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.
Azure VM's are far way cost effective than the AWS EC2 service also Azure VM's provides up Smart Hybrid Cloud integration with the Existing on Prem architecture. One of the key feature of Azure VM are they provide High availability and data redundant zones for the VM to be hosted.
We use both Azure and AWS VM services currently. AWS' EC2s have been around for longer an offer a much more reliable Linux OS support. But the gap getting smaller by the day, and Azure VMs are catching up nicely. In our case, we use a lot AWS for Linux-based applications …
Azure Virtual Machines is much easier to manage and is a user-friendly management console. Billing is much easier and more predictable to calculate and expect, the configuration is much easier to access and change, the cost is cheaper for Azure Virtual Machines than other …
Azure Virtual Machines was faster, cheaper, and took up less storage than Amazon EC2 Auto Scaling and is why we continue to use it to this day. We are very satisfied with all that Azure Virtual Machines can do and would recommend it to anyone looking for a virtual machine in …
Google Compute Engine is better than other in terms of the pricing and the performance. But when it comes to ease of use i would prefer Azure Virtual Machines. Other than this I find GCE very competitive with these other solutions
I prefer the Compute Engine Over these as it provides us with Better Scalability, Performance, and Reliability Security-related Issues don't arise with the Compute Engine, but yes, in terms of accessing or running, it can be improved a bit as compared to EC2 offered by AWS.
the main reason of choosing GCE is availability and user friendly UI with a very good documentation and API explanations. Great visibility over the infra and security.
The features specific to Google Compute Engine vs Amazon EC2 along with cost and availability are comparable, there may be other services within the vendor which may mean that one is more suitable for specific applications than the other one. We have used both for different …
If you want to host a dedicated Windows server on the cloud, and especially if you want to integrate it with your on premises Active Directory, Azure Virtual Machines should be your first choice. Obviously running Linux on Azure works very well too, but given Azure's pricing is not the cheapest, there are other providers out there that have a better cost-benefit ratio for Linux. That said, hosting Windows on Azure can be affordable (especially when compared to other providers) if you plan your licensing, topology, and application architecture correctly.
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.
When demand is high, we scale the service out, eg During a Football Match.
When a football match is over and the throughput of data from OPTA drops we save by the service scaling back in.
Our App Service Plans along with the Clean C# code are lightening fast giving a good customer experience.
When producing the TV Guide information and a program overruns its scheduled time, a client can instantly be updated to the new programming schedule as our change is instant and its in the right place for all the clients to download and adjust their television guides appropriately to send out to the public giving a 24x7 uptime service that is precise and accurate and resilient to outages due to failover zones around the world.
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
Pricing can be a concern if you are truly agnostic to which cloud you are building your particular solution in.
The UI, as is the case with any cloud provider, is crowded.
As with any cloud provider, it can be difficult to tune in exactly the right amount of servers for your needs...you might find yourself under/overprovisioning.
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.
GCE is highly available system. So far we have not experienced any planned or unplanned outages. We do experience application errors however they are not GCE reated. GCE provides us with wide ranges of option to make systems highly available like block storage, global load balancing, GPU accelerators and Machine Managers which manages different VMs.
It's good in terms of Performance, as compared to other VMs or Compute Engine Services by other providers. Google Compute Engine integrates seamlessly with other Google Cloud Platform services, allowing users to leverage a wide range of tools and services without significant performance degradation.
I give the overall support for Azure Virtual Machines a 7 because I think while the overall support do a great job there are still areas that it could improve on such as efficiency and speed. So while I only give it a 7 and it has some issues it is still better than the overall support at Amazon EC2 Auto Scaling.
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.
Azure Virtual Machines offer unparalleled flexibility in provisioning, managing and upgrading the VM instances, both manually and programmatically. AVM offer very granular billing options and enables high costs optimisations (while still being costly). The other competitors I mentioned are very good at offering dead-cheap VMs. But if you need anything beyond that, especially for big computing, you need Azure Virtual Machines.
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.
It's so easy to spin up new instances, that it becomes also to easy to have to many of them to manage. Many teams end up with a couple of hundreds of VMs after a short while, making the whole thing very hard to maneuver
Azure VMs are the next step for us to rely on Onprem servers, and leaving the management of the infrastructure to the professionals
The ease of use, is also important when our main focus is to deliver new applications and integrations fast, and not having to worry about infrastructure. We sell bottles, not CPUs
