Which statement is true regarding Amazon Kinesis Data Streams?

Amazon Kinesis Data Streams is designed to facilitate real-time data stream processing, making it an essential tool for applications that require immediate insights and actions on streaming data. One of the critical components of using Kinesis Data Streams is the Amazon Kinesis Client Library (KCL). The KCL simplifies the process of consuming and processing the data from Kinesis streams by enabling developers to build applications that can read from the stream, process the data, and then output the results.

Using the KCL is advantageous because it abstracts the complexities involved in distributed system development. It handles tasks such as load balancing, scaling, and error handling, thus allowing developers to concentrate on the logic of their applications rather than the underlying infrastructure. This makes it a powerful feature that supports the real-time capabilities of Amazon Kinesis Data Streams.

The other statements do not accurately represent the features of Kinesis Data Streams. For instance, it is not limited to processing video streams, as it can handle various types of data such as logs, events, and application metrics. Additionally, Kinesis supports real-time data processing, enabling applications to react to data immediately as it arrives. It is not restricted to historical data analysis, which is a key differentiator from other services like Amazon S3 or Amazon