Amazon SNS vs Google Cloud Speech API: What are the differences?

What is Amazon SNS? Fully managed push messaging service. Amazon Simple Notification Service makes it simple and cost-effective to push to mobile devices such as iPhone, iPad, Android, Kindle Fire, and internet connected smart devices, as well as pushing to other distributed services. Besides pushing cloud notifications directly to mobile devices, SNS can also deliver notifications by SMS text message or email, to Simple Queue Service (SQS) queues, or to any HTTP endpoint.

What is Google Cloud Speech API? Speech to text conversion powered by machine learning. Google Cloud Speech API enables developers to convert audio to text by applying powerful neural network models in an easy to use API. The API recognizes over 80 languages and variants, to support your global user base.

Amazon SNS can be classified as a tool in the "Mobile Push Messaging" category, while Google Cloud Speech API is grouped under "Speech Recognition as a Service".

Some of the features offered by Amazon SNS are:

• In most cases, developers can get started with Amazon SNS by using just three APIs: CreateTopic, Subscribe, and Publish. Additional APIs are available, which provide more advanced functionality.
• With SNS you can publish a message once, and deliver it one or more times. So you can choose to direct unique messages to individual Apple, Google or Amazon devices, or broadcast deliveries to many mobile devices with a single publish request.
• SNS allows you to group multiple recipients using topics. A topic is an “access point” for allowing recipients to dynamically subscribe for identical copies of the same notification. One topic can support deliveries to multiple endpoint types -- for example, you can group together iOS, Android and SMS recipients. When you publish once to a topic, SNS delivers appropriately formatted copies of your message to each subscriber.

On the other hand, Google Cloud Speech API provides the following key features:

• Over 80 Languages
• Return Text Results In Real-Time
• Accurate In Noisy Environments