Which of the following services acts as a cloud-based data pipeline?

AWS Kinesis serves as a cloud-based data pipeline that allows for the real-time processing and analysis of streaming data. It is designed to handle large streams of data records in real-time, making it an ideal choice for use cases such as log and event data processing, real-time analytics, and data ingestion for big data applications.

Kinesis provides the ability to easily collect, process, and analyze streaming data, automatically scaling to accommodate the data flow, which is essential for modern applications that require immediate insights and actions based on data. This service enables organizations to build robust data architectures utilizing various Kinesis components like Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Data Analytics, ensuring seamless data pipelines that can ingest and process data continuously.

The other options serve different purposes. AWS Step Functions is designed for orchestrating workflows and stateful applications but does not focus solely on data pipelines. AWS Fargate is a serverless compute engine for containers, facilitating the deployment and management of containerized applications. AWS CodeCommit is a source control service for source code management, which is unrelated to the processing of data pipelines. Thus, Kinesis stands out as the appropriate choice for acting as a cloud-based data pipeline.