The AWS Snow Family is a collection of physical devices that help migrate large amounts of data into and out of the cloud without depending on networks. AWS Snowcone is the smallest member of the AWS Snow Family of edge computing and data transfer devices, presented as portable, rugged, and secure. AWS Snowball is a suitcase-sized data migration and edge computing device that comes in two device options: Compute Optimized and Storage Optimized presenting terabytes of usable block or Amazon S3…
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Google App Engine
Score 8.8 out of 10
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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
AWS Snow Family
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
AWS Snow Family
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
AWS Snow Family
Google App Engine
Features
AWS Snow Family
Google App Engine
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
I can say it is appropriate in many ways, like the data transfer and the migration part. The generations in the AWS snow family are also helpful in choosing the right one based on the amount of data and budget aspects. Moreover, it was well suited for use in migrating bulk amounts of data. The surveillance part is a bit drawback for us, and now its ok, and we are good with it.
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.
Actually, we have used both the AWS Database Migration Service and AWS snow family's snowmobile, and we have a lot of experience with both migration parts. But the one we choose the best is the AWS snow family. Among these, it really works like something to migrate all the existing data to AWS servers in a very short span. Moreover, the accuracy of the data transfer is 100%.
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.
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.