A lab uses IoT sensors to monitor humidity, temperature, and pressure for a project. The sensors send 100 KB of data every 10 seconds. A downstream process will read the data from an Amazon S3…

Amazon Kinesis Data Firehose typically buffers data for a minimum of 60 seconds or until 1MB is accumulated before delivering it to S3, introducing a default latency that might not be the absolute 'least' compared to a finely tuned Flink application.

Amazon Kinesis Data Streams provides data ingestion and storage but does not directly deliver data to S3; it requires a separate consumer to read from the stream and write to S3, which adds implementation complexity and potential latency.

The Kinesis Client Library (KCL) is used by consumers to process data from Kinesis Data Streams and would require custom code to write data to S3, introducing operational overhead and likely more latency than a managed service optimized for delivery.

Amazon Managed Service for Apache Flink allows users to run Apache Flink applications for real-time processing of streaming data. A Flink application can ingest data from a Kinesis Data Stream and be configured to output data to Amazon S3 with very fine-grained control over flushing intervals, potentially achieving lower latency for delivery of individual records or small batches compared to the default batching behavior of Kinesis Data Firehose, enabling near-instantaneous delivery to S3 after processing.