What type of analysis can be performed with Splunk's real-time search capabilities?

Real-time search capabilities in Splunk are designed primarily for immediate response to changing data conditions. This allows users to monitor live streams of data, detecting and reacting to changes as they happen. For instance, in environments where rapid decision-making is critical—such as cybersecurity or network monitoring—real-time searches enable alerts and visualizations that reflect the latest information, allowing users to act promptly on any anomalies or events.

Batch analysis of historical data is more suited for scheduled or periodic processing rather than immediate observations. Predictive analysis of future trends generally requires historical data to identify patterns and make forecasts, which may not align with the real-time capabilities. While comprehensive analysis of all available data is a helpful function of Splunk, it does not emphasize the immediacy that real-time search is meant to provide. Thus, the focus on immediate response highlights the strength of real-time searches in Splunk.