What is the AWS service designed for real-time data processing?

Amazon Kinesis is specifically designed for real-time data processing, making it the most suitable option in this context. Kinesis allows users to collect, process, and analyze streaming data in real-time. It provides services such as Kinesis Data Streams, which enables building applications that process or analyze streaming data for insights as it arrives, supporting scenarios like log and event data processing, real-time analytics, and more.

Kinesis is highly scalable and can handle large volumes of data, making it ideal for use cases where timely insights and real-time operational responses are critical. This capability distinguishes it from other services, which serve different purposes. For example, AWS Glue is primarily an ETL (Extract, Transform, Load) service that is used for preparing and transforming data for analytics but is not focused on real-time processing. AWS Step Functions allows developers to coordinate different AWS services into serverless workflows, while Amazon SQS (Simple Queue Service) is used for message queuing and does not inherently provide real-time data processing capabilities.

Thus, the features and focus of Amazon Kinesis clearly align with the requirement for real-time data processing, making it the correct choice.