What AWS service can be used to process streaming data in real-time?

Amazon Kinesis is specifically designed to handle real-time streaming data, making it the optimal choice for processing data as it is created and transmitted. This service enables users to capture, process, and analyze streaming data with low latency, allowing for real-time insights and responses to data changes. Kinesis supports various types of data streams, including applications that generate logs, social media feeds, and IoT device data.

In contrast, other services listed have different primary functions. Amazon Redshift is a data warehousing service intended for large-scale data analysis and batch processing rather than real-time streaming. AWS Glue serves as a managed ETL (Extract, Transform, Load) service used to prepare and transform data but does not focus on real-time streaming capabilities. Amazon RDS is a managed relational database service that handles structured data but is not geared for streaming processes. Therefore, Kinesis stands out as the best choice for anyone needing to process data in real-time.