Azure VMware Solution vs. Google Compute Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure VMware Solution
Score 8.7 out of 10
N/A
Azure VMware Solution enables users to run VMware workloads natively on Azure. The user can move VMware-based workloads from the datacenter to Azure and integrate a VMware environment with Azure. This enables users to continue managing existing environments with the same VMware tools already in use while including Azure native services. Azure VMware Solution is a Microsoft service, verified by VMware, that runs on Azure infrastructure.N/A
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.
$0.01
Hour
Pricing
Azure VMware SolutionGoogle Compute Engine
Editions & Modules
No answers on this topic
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 VMware SolutionGoogle Compute Engine
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsPrices 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.
More Pricing Information
Community Pulse
Azure VMware SolutionGoogle Compute Engine
Features
Azure VMware SolutionGoogle Compute Engine
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Azure VMware Solution
8.6
Ratings
7% above category average
Google Compute Engine
7.3
Ratings
10% below category average
Service-level Agreement (SLA) uptime9.00 Ratings8.10 Ratings
Dynamic scaling8.00 Ratings8.30 Ratings
Monitoring tools9.00 Ratings3.00 Ratings
Pre-defined machine images9.00 Ratings7.30 Ratings
Operating system support10.00 Ratings7.90 Ratings
Security controls7.00 Ratings7.90 Ratings
Automation8.00 Ratings7.90 Ratings
Elastic load balancing00 Ratings8.00 Ratings
Pre-configured templates00 Ratings7.50 Ratings
Best Alternatives
Azure VMware SolutionGoogle Compute Engine
Small Businesses
DigitalOcean Droplets
DigitalOcean Droplets
Score 8.7 out of 10
DigitalOcean Droplets
DigitalOcean Droplets
Score 8.7 out of 10
Medium-sized Companies
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
Enterprises
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
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User Ratings
Azure VMware SolutionGoogle Compute Engine
Likelihood to Recommend
9.0
(0 ratings)
7.6
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(0 ratings)
Usability
-
(0 ratings)
9.0
(0 ratings)
Availability
-
(0 ratings)
8.6
(0 ratings)
Performance
-
(0 ratings)
8.4
(0 ratings)
Support Rating
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
Azure VMware SolutionGoogle Compute Engine
Likelihood to Recommend
Cloud-Native Applications: If you are building cloud-native applications that are designed to run on Azure, AVS may not be the best solution. In this case, you should consider using Azure-native services, such as Azure Kubernetes Service (AKS) or Azure Functions.Minimal Workloads: If you have a small number of workloads, it may not be cost-effective to use AVS. In this case, you can consider using Azure Virtual Machines (VMs) or other Azure services that are better suited for small workloads.Custom Hardware Configurations: If you require custom hardware configurations or specialized hardware, AVS may not be able to meet your requirements. In this case, you can consider using other Azure services, such as Azure Dedicated Hosts, that offer more flexibility in terms of hardware configurations.Cost-Sensitive Workloads: If you have cost-sensitive workloads, AVS may not be the best solution. While AVS offers many benefits, it can also be more expensive than other Azure services. In this case, you should consider using Azure services that are more cost-effective, such as Azure Virtual Machines.
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It is excellent if you have any workloads that need raw computing or plan to have any state-full services running in your environment like DBs (for which you don't want to use Managed services), cache, etc. It also gives you complete control over which versions of software, OS, etc., you need, and thus, you can build anything and deploy it on GCE.
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Pros
  • Create and Manage Virtual Machines
  • Multiple OS base Virtual Machines
  • Good Capacity Planning and Management
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  • A simple web-based interface that is a breeze to train new engineers to use. Our experienced engineers never have trouble finding or doing anything on GCE.
  • Sustained use and Committed use discounts mean we get top-tier VMs for an incredibly competitive price.
  • Wonderful identity and access management that gives us peace-of-mind when granting access to machines to contractors and other 3rd parties.
  • Fast VMs, lastest in hardware, and enough RAM to power even the hungriest of our services.
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Cons
  • Easier access to features and editing your own dashboard
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  • The L7 load balancer can be difficult to get set up. It's limited in its functionality, especially with the container engine.
  • It's hard to find certain objects on the web console. Often times the things I need to get to are buried in advanced menus.
  • Google's decision to only support MySQL on their relational DB service means that I have to manage Postgres instances in Compute on my own, managing everything from storage to backups.
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Likelihood to Renew
No answers on this topic
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.
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Usability
Very good usable solution.
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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.
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Reliability and Availability
No answers on this topic
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
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Performance
No answers on this topic
The raw computer power is excellent; our applications feel snappy, pages load almos instantly for our customers and so on. The primary reason it is not a perfect 10 is that the native tools for monitoring individual VM performance can be complex, making it challenging to easily diagnose specific resource bottlenecks without significant configuration
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Support Rating
No answers on this topic
  • 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.
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Alternatives Considered
It's very good compared to its competitors as great uptime, easy support and interactive User Interface makes it a wonderful solution.
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When configuring Amazon ECS, it is a bit confusing as you are not able to find the actual issue. You need to enable Additional AppInsights to get detailed level info, which is not a concern when configuring on the Instance Level. Moreover, Azure VM does not provide an in-browser option; instead, it is Azure Bastion, but for that, you have to enable a dedicated subnet, which is a bit unnecessary.
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Scalability
No answers on this topic
It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.
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Return on Investment
  • Cost Savings: One of the key benefits of AVS is that it can help businesses save money by reducing the costs associated with maintaining and upgrading on-premises infrastructure.
  • AVS can help businesses improve their agility by enabling them to quickly provision and scale VMware workloads in Azure.
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  • Scalability means flexibility and less upfront costs
  • Can become expensive when hard set compute requirements are clear, but things like Spot VMs can help here too, or just having your own infrastructure and scaling up with Google. This is for more advanced cases though
  • Ramp up time is long, but after that it is quick to do many things and ROI is awesome
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ScreenShots

Google Compute Engine Screenshots

Screenshot of How to choose the right VM
With thousands of applications, each with different requirements, which VM is right for you?Screenshot of documentation, guides, and reference architectures
Migration Center is Google Cloud's unified migration platform with features like cloud spend estimation, asset discovery, and a variety of tooling for different migration scenarios.