Azure Data Factory vs. IBM DataStage

Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems.

IBM® InfoSphere® DataStage® is a leading ETL platform that integrates data across multiple enterprise systems. It leverages a high performance parallel framework, available on-premises or in the cloud. The scalable platform provides extended metadata management and enterprise connectivity. It integrates heterogeneous data, including big data at rest (Hadoop-based) or big data in motion (stream-based), on both distributed and mainframe platforms. It supports IBM Db2® Z and Db2 for z/OS®, applies workload and business rules, and integrates real-time data in an easy to deploy, scalable platform.