What is a primary feature of Amazon DynamoDB Streams?

A primary feature of Amazon DynamoDB Streams is its ability to provide real-time processing of item-level changes in a DynamoDB table. This means that when any change occurs—such as an item being added, modified, or deleted in the table—these changes are captured and made available through the stream almost immediately. This feature allows developers to respond to changes in the data in real-time, enabling a wide range of applications like triggering workflows, updating materialized views, or syncing data to other services.

This functionality is particularly valuable in applications that require instant updates or reactions based on data changes, such as notification systems, data replication, and event-driven architectures. By utilizing DynamoDB Streams, developers can build systems that are responsive and can handle events as they occur, significantly enhancing real-time data processing capabilities.

The other options, while they might seem relevant, do not encapsulate the core purpose of DynamoDB Streams. For instance, batch processing is typically used for handling large volumes of data at once, rather than focusing on immediate, individual item changes. Archiving old data is more aligned with data storage strategies and compliance needs, rather than the real-time aspect of streams. Data transformation capabilities are often part of a broader data processing or ETL (Extract, Transform