Which of the following is NOT a benefit of using stream processing?

Stream processing is designed to handle and analyze data in real time, offering a range of benefits that enhance decision-making and operational efficiency. One of the key advantages of stream processing is immediate issue resolution, allowing organizations to address problems as they occur rather than waiting to analyze large batches of data later. Additionally, stream processing enables real-time detection of anomalies, which is crucial for identifying issues or opportunities as they arise, thus supporting proactive decision-making. Enhanced customer experience through alerts is another significant benefit; businesses can react promptly to customer actions or events, such as sending notifications for specific triggers.

While stream processing offers numerous advantages, reduced storage costs is generally not one of them. In fact, stream processing may actually necessitate additional resources for managing real-time data processing and storage of event streams, which could lead to increased storage costs rather than a reduction. Therefore, while the other options highlight immediate operational advantages, the potential for reduced storage costs does not align with the fundamental nature of stream processing.