Which AWS service is used for real-time streaming data analytics?

Amazon Kinesis is the service specifically designed for real-time streaming data analytics. It enables users to easily collect, process, and analyze real-time data streams at scale, making it an ideal choice for applications that require instant processing of data as it flows in. Kinesis allows for the ingestion of vast amounts of data from various sources such as website clickstreams, database event streams, and social media feeds, facilitating analytics and machine learning integration on streaming data.

In contrast, the other options serve different purposes. Amazon S3 is primarily a storage service, allowing users to store and retrieve data at any time but does not focus on real-time data analytics. Amazon Glacier is designed for long-term data archiving and retrieval rather than real-time access or analysis. Amazon Redshift is a data warehousing service that excels in performing complex queries and data analysis on structured data but is typically suited for batch processing rather than real-time streaming applications. Thus, Kinesis is clearly the most appropriate service for real-time streaming data analytics.