Which AWS service is used for processing real-time streaming data?

Amazon Kinesis is the primary AWS service designed specifically for processing real-time streaming data. It allows you to ingest, process, and analyze streaming data at scale, enabling applications to respond to new information within milliseconds. Kinesis supports various use cases such as real-time analytics, log and event data processing, and data ingestion from multiple sources like IoT devices and logs.

This service consists of multiple components, including Kinesis Data Streams, which captures and stores streams of data records, and Kinesis Data Firehose, which can automatically deliver streaming data to various destinations such as Amazon S3 or Amazon Redshift for further analysis. The real-time capabilities of Amazon Kinesis make it essential for scenarios where immediate data processing and timely insights are crucial, like monitoring social media trends or reacting to fraud detection signals.

The other services mentioned, while useful in their own contexts, are not tailored specifically for real-time streaming data processing. Amazon RDS is primarily for relational database management, AWS Lambda is mostly for serverless computing where code is executed in response to events (including streaming data but not focused solely on it), and Amazon Glue is designed for ETL (Extract, Transform, Load) processes rather than real-time stream processing. Thus, Kinesis stands out as the