An air conditioning company has invested in a product that monitors airflow through hospital ducts. Which AWS service would be well-suited to consume the streaming Internet of Things (IoT) data?

Amazon Kinesis Data Firehose is particularly well-suited for consuming streaming Internet of Things (IoT) data due to its ability to reliably collect, process, and deliver real-time data streams. In the context of monitoring airflow through hospital ducts, the product can continuously send data such as temperature, humidity, and air quality metrics. Kinesis Data Firehose can effortlessly handle this continuous influx of data, allowing for effective real-time analysis and storage in other AWS services for further processing.

Additionally, Kinesis Data Firehose automatically scales to match the volume of incoming data without the need for any user intervention, which is especially beneficial in scenarios where the volume of IoT data can fluctuate. It can also transform and format incoming data before loading it into destinations like Amazon S3, Amazon Redshift, or Amazon Elasticsearch Service. This capability makes it a robust solution for aggregating and distributing IoT data streams efficiently and easily.

In contrast, Amazon S3 is primarily a storage service rather than a tool to continuously consume or process streaming data. Although it can store the output of Kinesis Data Firehose, it is not designed for the real-time handling of incoming IoT data streams. Amazon DynamoDB is a NoSQL database known for low-latency data