Amazon Elastic Transcoder vs. Google Compute 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

Google Compute Engine is so easy to implement and run. It doesn't require much knowledge to build an app since they provide multiple options to choose from with their prebuilt sample list. We can easily make customization on any website app we built for our client according to their needs and make changes if required.

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

• Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
• Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
• Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs

Incentivized

• Amazon Elastic Transcoder requires a fair amount of setup.

Incentivized

• Built-in monitoring via Stackdriver is quite expensive for what it provides.
• Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount.
• Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services.

Incentivized

Overall services are good to go. Received good feedback from users. Have regional server locations. It has free extra service included.

Incentivized

Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.

Incentivized

GCE is highly available system. So far we have not experienced any planned or unplanned outages. We do experience application errors however they are not GCE reated. GCE provides us with wide ranges of option to make systems highly available like block storage, global load balancing, GPU accelerators and Machine Managers which manages different VMs.

Incentivized

It's good in terms of Performance, as compared to other VMs or Compute Engine Services by other providers. Google Compute Engine integrates seamlessly with other Google Cloud Platform services, allowing users to leverage a wide range of tools and services without significant performance degradation.

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

• The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
• Google support was great and their presence on site was very helpful in dealing with various issues.

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

Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.

Incentivized

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

Incentivized

• With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems.
• As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster.

Incentivized