Absolutely! Even though Apache Airflow may not provide true real-time scheduling capabilities, it can still be highly valuable for managing complex processes and dependencies.

Airflow excels at orchestrating and managing workflows that involve multiple tasks with intricate dependencies. It allows you to define and visualize workflows as Directed Acyclic Graphs (DAGs), where each node represents a task and the edges represent dependencies between tasks.

By utilizing Airflow's task dependencies, you can ensure that tasks are executed in the correct order and that downstream tasks wait for their dependencies to be completed before running. This makes it particularly useful for managing complex processes with interdependent steps.

Airflow also provides features such as retries, error handling, and task monitoring, which contribute to better management and resilience in complex workflows. The web-based UI of Airflow allows you to monitor the status and progress of your workflows, view logs, and track task execution history.

Furthermore, Airflow supports extensibility through custom operators and hooks, enabling you to integrate with various systems and technologies as needed for your specific processes.

So, while Airflow may not offer real-time scheduling, it remains a powerful tool for managing and orchestrating complicated workflows with dependencies, providing visibility, control, and robustness in the execution of complex processes.