Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and real-time) in the same job.
IBM InfoSphere DataStage offers customizable data management, robust integration for large datasets, parallel processing, and valuable ETL functionality. It excels in error logging and scalability but is considered expensive and struggles with real-time processing. Challenges include outdated data source connectors, limited cloud integration, and complex setup. Documentation needs enhancement, leading to issues for new users. Despite its potential, performance and ease of use improvements are necessary for comprehensive satisfaction.
