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.
$10.41
per hour
Google App Engine
Score 8.8 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
9.1
2 Ratings
10% above category average
Google App Engine
-
Ratings
Service-level Agreement (SLA) uptime
9.02 Ratings
00 Ratings
Dynamic scaling
9.02 Ratings
00 Ratings
Elastic load balancing
9.01 Ratings
00 Ratings
Pre-configured templates
9.01 Ratings
00 Ratings
Monitoring tools
9.02 Ratings
00 Ratings
Pre-defined machine images
9.02 Ratings
00 Ratings
Operating system support
10.02 Ratings
00 Ratings
Security controls
9.02 Ratings
00 Ratings
Automation
9.02 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.
App Engine is such a good resource for our team both internally and externally. You have complete control over your app, how it runs, when it runs, and more while Google handles the back-end, scaling, orchestration, and so on. If you are serving a tool, system, or web page, it's perfect. If you are serving something back-end, like an automation or ETL workflow, you should be a little considerate or careful with how you are structuring that job. For instance, the Standard environment in Google App Engine will present you with a resource limit for your server calls. If your operations are known to take longer than, say, 10 minutes or so, you may be better off moving to the Flexible environment (which may be a little more expensive but certainly a little more powerful and a little less limited) or even moving that workflow to something like Google Compute Engine or another managed service.
There is a slight learning curve to getting used to code on Google App Engine.
Google Cloud Datastore is Google's NoSQL database in the cloud that your applications can use. NoSQL databases, by design, cannot give handle complex queries on the data. This means that sometimes you need to think carefully about your data structures - so that you can get the results you need in your code.
Setting up billing is a little annoying. It does not seem to save billing information to your account so you can re-use the same information across different Cloud projects. Each project requires you to re-enter all your billing information (if required)
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.
We were on another much smaller cloud provider and decided to make the switch for several reasons - stability, breadth of services, and security. In reviewing options, GCP provided the best mixtures of meeting our needs while also balancing the overall cost of the service as compared to the other major players in Azure and AWS.
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.
Effective integration to other java based frameworks.
Time to market is very quick. Build, test, deploy and use.
The GAE Whitelist for java is an important resource to know what works and what does not. So use it. It would also be nice for Google to expand on items that are allowed on GAE platform.