Which service is used for real-time analytics on data streams?

Amazon Kinesis is the correct choice for real-time analytics on data streams. It is a fully managed service that allows for the collection, processing, and analysis of streaming data in real-time. With Kinesis, users can ingest and analyze data from a variety of sources, such as log files, social media feeds, or telemetry data from IoT devices, all while the data is being generated. This capability makes Kinesis well-suited for applications that require immediate insights from continuous data flows.

Kinesis offers features like Kinesis Data Streams, which enables the user to build custom applications that process or analyze streaming data, and Kinesis Data Analytics, which allows for SQL querying of streaming data to gain insights without needing to set up complex analytics infrastructure. This ability to handle real-time data makes Kinesis a go-to service for time-sensitive applications, such as fraud detection and real-time reporting.

Other services listed do not primarily focus on real-time analytics of streaming data. AWS Lambda can process events, including those from Kinesis, but is not exclusively designed for analytics. AWS Glue is primarily an ETL (Extract, Transform, Load) service aimed at preparing data for analytics, rather than real-time processing. Amazon S3 is an object storage service that can