AWS Lambda is a serverless computing platform that lets users run code without provisioning or managing servers. With Lambda, users can run code for virtually any type of app or backend service—all with zero administration. It takes of requirements to run and scale code with high availability.
$NaN
Per 1 ms
Google App Engine
Score 8.2 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
VMware ESXi
Score 7.1 out of 10
N/A
A bare-metal hypervisor that installs directly onto a physical server. With direct access to and control of underlying resources, VMware ESXi partitions hardware to consolidate applications and cut costs.
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Pricing
AWS Lambda
Google App Engine
VMware ESXi
Editions & Modules
128 MB
$0.0000000021
Per 1 ms
1024 MB
$0.0000000167
Per 1 ms
10240 MB
$0.0000001667
Per 1 ms
Starting Price
$0.05
Per Hour Per Instance
Max Price
$0.30
Per Hour Per Instance
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Offerings
Pricing Offerings
AWS Lambda
Google App Engine
VMware ESXi
Free Trial
No
No
No
Free/Freemium Version
No
Yes
Yes
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
AWS Lambda
Google App Engine
VMware ESXi
Considered Multiple Products
AWS Lambda
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Chose AWS Lambda
AWS Lambda is good for short running functions, and ideally in response to events within AWS. Google App Engine is a more robust environment which can have complex code running for long periods of time, and across more than one instance of hardware. Google App Engine allows for …
Each service has its purpose. With EC2 you can provision servers for customers and internal projects. With EBs you can optimize what you need in performance with what you can afford. With AWS Lambda you can integrate several of these tools to work together or acomplish …
For our organization, we selected Google App Engine which provides a reliable and efficient way to create and deploy apps moreover it supports a lot of languages and provides automatic debugging of code which enables us to deploy code to production as soon as development is …
If you have a small team which is also responsible for development of the product then surely go for it. And if you have a larger team with dedicated person to take care of deployments. Go for cheaper options such as compute engine or AWS (be sure to do your research on pricing …
You can create and scale Kubernetes clusters quickly, but you have to keep an eye on that cluster. In-App Engine, you don't have to worry about infrastructure, but in some scenarios, Kubernetes fits better.
Azure App Service is in par with Google App Engine although you may want to use Azure App Service if you are integrating with other Microsoft IT components, for example SQL Server. Google App Engine is great when in long run, you will be using Google cloud components, for …
The two giants are Google and Amazon. Both are very similar however Google App Engine allows you to deploy your web applications through platforms like Python where as if you're using AWS, you have full control on the operating system services. Google is good because you pay as …
I think that Microsoft and Amazon are simply investing more in their offerings, and there are a bunch of cool PaaS solutions out there as well. Google App Engine is solid, and is probably the right choice for some projects. But ultimately one should evaluate each platform …
Lambda excels at event-driven, short-lived tasks, such as processing files or building simple APIs. However, it's less ideal for long-running, computationally intensive, or applications that rely on carrying the state between jobs. Cold starts and constant load can easily balloon the costs.
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.
If you're looking for the industry standard in server virtualization, I would recommend ESXi. After decades of expertise in the field, VMware continues to provide a strong product, production-ready, with an easy-to-learn interface that allows for quick management along with less costly upfront onboarding and training. Grab the free personal-use license and install in your homelab to start!
Resource management. The automatic load balancing works very well to ensure no host is taxed disproportionately compared to the others.
Templates and cloning. It is very easy to set up a template and spin up new servers based on a specific setup. This makes server management very streamlined.
VM management. The vSphere interface is very easy to use and navigate. Everything is responsive and it works when you need it to. The options are also robust while also being arranged in a straightforward manner.
Developing test cases for Lambda functions can be difficult. For functions that require some sort of input it can be tough to develop the proper payload and event for a test.
For the uninitiated, deploying functions with Infrastructure as Code tools can be a challenging undertaking.
Logging the output of a function feels disjointed from running the function in the console. A tighter integration with operational logging would be appreciated, perhaps being able to view function logs from the Lambda console instead of having to navigate over to CloudWatch.
Sometimes its difficult to determine the correct permissions needed for Lambda execution from other AWS services.
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)
VMware ESXi can improve on the UI that is installed on the bare metal machine. The menus can be hard to navigate when looking for simple configuration items.
VMware ESXi can improve on the stability of their overall hypervisor. There have been a few times we had to reinstall due to corruption of VMware ESXi.
I would like to see VMware ESXi do better at adding more standard free features in their consumer version of VMware ESXi. For example, having the ability to back up virtual machines is good practice and something that would be very nice if offered in their free version.
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.
It is critical to our business, what started out as a way to do certain functions, it has now become core to ensuring our product is available to our customers and reducing our costs to operate and reduce our recovery time and provisioning servers. Their support is great and the costs to renew is reasonable.
I give it a seven is usability because it's AWS. Their UI's are always clunkier than the competition and their documentation is rather cumbersome. There's SO MUCH to dig through and it's a gamble if you actually end up finding the corresponding info if it will actually help. Like I said before, going to google with a specific problem is likely a better route because AWS is quite ubiquitous and chances are you're not the first to encounter the problem. That being said, using SAM (Serverless application model) and it's SAM Local environment makes running local instances of your Lambdas in dev environments painless and quite fun. Using Nodejs + Lambda + SAM Local + VS Code debugger = AWESOME.
I had to revisit the UI after a year of just setting up and forgetting. The UI got some improvements but the amount of navigation we have to go through to setup a new app has increased but also got easier to setup. Gemini now is integrated and make getting answers faster
The interface is fairly intuitive for most things, and the areas that are a little less obvious usually have fantastic documentation in the online knowledgebase. In 3-4 years of managing our ESXi hosts, I think that I have only opened 4-5 support cases for things that I could not figure out myself or find answers to on the website.
Without the need to patch the servers with bug fixes and enhancements we whave not experienced any downtime with VMware issues. Even the bug fixes and updates do not cause of downtime as we just migrate the servers to the opposite node and update the one and then move servers back. Very simple and painless.
We do not notice any difference between a physical and virtual server running the same workload. In fact we can scale quicker with the virtual server than we can with the physical.
Amazon consistently provides comprehensive and easy-to-parse documentation of all AWS features and services. Most development team members find what they need with a quick internet search of the AWS documentation available online. If you need advanced support, though, you might need to engage an AWS engineer, and that could be an unexpected (or unwelcome) expense.
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.
I can't say enough good about VMware's support team. To an individual they take ownership of the case, provide thorough answers, and follow up regularly. On one occasion, a problem we experienced with NSX Endpoint was escalated to development for a permanent resolution after a workaround was found. In my experience, most companies would have tried to find a way to close a case like that instead of taking it all the way. Most importantly, when production is down and every second counts, they VMware teams understand that urgency and treat your issue as if it were the only one they had to deal with. You can't ask for better.
Jsut read and follow anything your storage provider may require to allow the integration of VMware with storage operations, outside of that VMware jsut works.
AWS Lambda is good for short running functions, and ideally in response to events within AWS. Google App Engine is a more robust environment which can have complex code running for long periods of time, and across more than one instance of hardware. Google App Engine allows for both front-end and back-end infrastructure, while AWS Lambda is only for small back-end functions
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.
As long as you're using Nutanix AOS on Nutanix hardware and are paying their software support fees, AOS is a valid competitor to VMware and can save money due to not needing a license and having their server management system built into the base host management system. If you aren't using Nutanix hardware, however, VMWare is in most cases the best way to go. I cannot comment on HyperV, but most IT people I know either use it because they have to (most) or they like it better (not many).
it has been fair and easy to understand. I know VMware is looking at wanting to change from CPU to core pricing so we will see what that looks like when it happens.
We started out with a two-server cluster and adding a third or fourth is very straightforward and simple with no issues. You just need to be aware of the size of your Vcenter Server to handle the workload, but still the resources needed is very minimal
Positive - Only paying for when code is run, unlike virtual machines where you pay always regardless of processing power usage.
Positive - Scalability and accommodating larger amounts of demand is much cheaper. Instead of scaling up virtual machines and increasing the prices you pay for that, you are just increasing the number of times your lambda function is run.
Negative - Debugging/troubleshooting, and developing for lambda functions take a bit more time to get used to, and migrating code from virtual machines and normal processes to Lambda functions can take a bit of time.
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.
VMWare ESXi licensing is affordable for our business - and the licensing model is simplistic. Not like that of Microsoft with having to keep track of server licenses and CAL licenses for users.
VMWare ESXi also has hardware-monitoring built-in, so that further saves us money from having to be spent with another vendor.
As much as I hate the saying "a single pane of glass" does fit for this product. You can manage your servers, monitor hardware status, create and export backup snapshots, manage virtual NICs, connect to various storage devices. We're very happy with this product.
