Design separate pipelines for batch and real-time processing to ensure isolation and reduce complexity, despite potential increases in cost and management overhead.

Integrate batch and real-time processing activities within a single pipeline using Azure Data Factory, leveraging its capabilities to handle both processing modes efficiently.

Utilize Azure Stream Analytics for real-time data processing and Azure Databricks for batch processing, creating a segmented but interconnected system.

Develop a custom hybrid processing solution using open-source frameworks, requiring significant development effort but offering maximum flexibility.