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 App Engine
Score 9.2 out of 10
N/A
Google App Engine is Google Cloud's platform-as-a-service offering. It features pay-per-use pricing and support for a broad array of programming languages.
$0.05
Per Hour Per Instance
Pricing
Azure VMware Solution
Google App Engine
Editions & Modules
No answers on this topic
Starting Price
$0.05
Per Hour Per Instance
Max Price
$0.30
Per Hour Per Instance
Offerings
Pricing Offerings
Azure VMware Solution
Google App Engine
Free Trial
No
No
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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More Pricing Information
Community Pulse
Azure VMware Solution
Google App Engine
Features
Azure VMware Solution
Google App 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 App Engine
-
Ratings
Service-level Agreement (SLA) uptime
9.00 Ratings
00 Ratings
Dynamic scaling
8.00 Ratings
00 Ratings
Monitoring tools
9.00 Ratings
00 Ratings
Pre-defined machine images
9.00 Ratings
00 Ratings
Operating system support
10.00 Ratings
00 Ratings
Security controls
7.00 Ratings
00 Ratings
Automation
8.00 Ratings
00 Ratings
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
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.
Google App Engine is especially well suited for situations where there is a variable workload during the day, e.g. inbound task processing with task queues. In this situation queues can be setup with parameters governing the process speed/scaling which allows you to easily balance performance with cost and meet a good balance.
Building an application that uses Google's Authentication, means users no longer need to remember an different user id and password. Once they are logged into to Google, they can seamlessly access your application hosted on Google App Engine.
Google App Engine automatically scales up and down. SO if your application receives a spike in user traffic, App Engine automatically launches additional instances of your application to cater for the increased traffic. Once App Engine detects that the spike is usage is over, it automatically scales down to handle the current traffic.
Google App Engine can be easily integrated with Google Cloud SQL, Google Compute Engine, Google Cloud Storage etc, so that you can build out a full application using one or more of Google's Cloud Platform products.
App Engine is a solid choice for deployments to Google Cloud Platform that do not want to move entirely to a Kubernetes-based container architecture using a different Google product. For rapid prototyping of new applications and fairly straightforward web application deployments, we'll continue to leverage the capabilities that App Engine affords us.
Google App Engine is very intuitive. It has the common programming language most would use. Google is a dependable name and I have not had issues with their servers being down....ever. You can safely use their service and store your data on their servers without worrying about downtime or loss of data.
Good amount of documentation available for Google App Engine and in general there is large developer community around Google App Engine and other products it interacts with. Lastly, Google support is great in general. No issues so far with them.
App Engine is a much more streamlined system than EC2. There is a fundamental difference between them, but they are used for basically the same thing as far a I could tell -- to serve applications EC2 is certainly more complicated, but if offers more machine-level control if that's what you need. It can tend to cost more as well. App Engine is far more straightforward but there are limitations if you need to change the environment. But even then, Google Compute Engine also compares to EC2 and stays within GCP.
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.