Which service is designed to support real-time analytics with streaming data?

The selection of AWS MSK (Managed Streaming for Apache Kafka) as the correct answer is based on its primary function in handling real-time data streams. AWS MSK is a fully managed service that enables users to build and run applications that use Apache Kafka for processing streaming data. Kafka is well-known for its ability to handle high-throughput, low-latency data streams, making it ideal for real-time analytics use cases. Users can publish and subscribe to streams of records, process the streams in real time, and store the records in a fault-tolerant manner.

In contrast, AWS Glue is primarily focused on data preparation and ETL (Extract, Transform, Load) tasks, targeting batch processing rather than real-time analytics. AWS Rekognition is a computer vision service that analyzes images and videos but does not specialize in streaming data. AWS Polly is a text-to-speech service designed to convert written text into natural-sounding speech, which does not pertain to the streaming analytics domain. Therefore, AWS MSK stands out as it is specifically tailored for real-time interaction with streaming data, making it the right choice for this scenario.