Which AWS service is best suited for real-time analytics on streaming data?

The service that is best suited for real-time analytics on streaming data is Amazon Kinesis. Kinesis is specifically designed to handle real-time data streams and allows users to continuously collect, process, and analyze streaming data effectively. It provides capabilities to ingest massive amounts of data in real time and analyze it using a variety of tools, making it ideal for scenarios that require instant insights, such as monitoring application logs or processing live data from IoT devices.

In contrast, AWS Athena is used for querying data stored in Amazon S3 using SQL but is not tailored for real-time processing of data. Amazon Redshift, while powerful for handling large-scale data warehousing and analytics, is more focused on batch processing and analyzing large datasets rather than dealing with real-time streams. AWS RDS is a relational database service that is better suited for traditional database applications rather than streaming data analytics.

Therefore, for scenarios involving the processing and analysis of data as it arrives, Kinesis provides the best tools and features to achieve real-time results.