Amazon Elastic Transcoder vs. Google App Engine

It is well suited in a large setting where people use different file formats and various apps to record and transfer their audio or video files across devices. In such scenarios, the transcoder would of real help to eliminate the hassle of converting the files into desired formats for viewing or doing some other analysis.

The transcoder would not be of much use if all the files have the same format and does not need any conversion from their source file formats. It would prove costly and not useful if it's just an additional step that is of no particular use

Incentivized

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.

Incentivized

• Works at scale, you can can transcode a high number of videos at the same time.
• Supports a good number of formats.
• Good integration with AWS S3 and other AWS Services.

Incentivized

• Quick to develop, quick to deploy. You can be up and running on Google App Engine in no time.
• Flexible. We use Java for some services and Node.js for others.
• Great security features. We have been consistently impressed with the security and authentication features of Google App Engine.

Incentivized

• Amazon Elastic Transcoder requires a fair amount of setup.

Incentivized

• 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)

Incentivized

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.

Incentivized

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

Incentivized

Support for Amazon Elastic Transcoder is the same as any other service within AWS. If you are familiar with AWS, it is easy to start using Elastic Transcoder

Incentivized

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.

Incentivized

Amazon Elastic Transcoder is in a league of its own when compared to other alternatives in the market. The most noticeable competitor would be either Microsoft or Adobe or Google. When I had a chance to compare Azure products and Amazon products, the difference is obvious and the experience provided by both the products are very different in terms of user experience and interaction with the application. The cost and availability also were taken into consideration when choosing between the two shortlisted choices. So we went with Amazon's product as it is widely used and has support and maintenance which is basically better than the competition.

Incentivized

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.

Incentivized

• Less time for integration with this service if you are already in AWS stack
• No real time transcoding is a negative

Incentivized

• Effective employee adoption through ease of use.
• 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.

Incentivized