Which AWS service would you use for real-time data analytics?

The choice of Amazon Kinesis as the correct answer highlights its specialized capabilities for handling real-time data analytics. Amazon Kinesis is designed specifically for processing and analyzing streaming data in real-time. It allows you to capture, process, and analyze data as it flows from various sources, making it an excellent choice for scenarios that require immediate insights and actions on data inputs, such as logs, metrics, and IoT device data.

With Kinesis, developers can build applications that continuously ingest and process large streams of data, and perform real-time analytics, providing timely insights that can be critical for many applications, such as monitoring, financial transactions, or responding to events in real time.

In contrast, other services listed are not primarily designed for real-time analytics. Amazon RDS is a managed relational database service suitable for traditional transactional applications but does not focus on streaming data analytics. Amazon Redshift is a data warehousing service optimized for batch processing and analytical queries but is not intended for real-time data processing. Amazon Glacier is a long-term archival storage solution that allows for low-cost data storage but is not suitable for analytical processes involving streaming data.