Event-driven scheduling is the feature that allows Databricks Jobs to be initiated based on external events or conditions, offering a more adaptable and dynamic approach to workflow management. This differs from time-based scheduling, which operates on predefined intervals, dependency-based scheduling, which depends on the completion of prior tasks, and task-based scheduling, which focuses on task specification without external triggers.