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Difference between RSA5 and RSA6

Updated Sep 07, 2023

In this article, we'll learn the key differences between t-code RSA5 and t-code RSA6. We'll also discuss why they are so important in managing data in SAP.

T-code RSA5 (Installing Data Sources from Business Content):

  • RSA5 serves as the initial step for activating data sources derived from SAP's Business Content.
  • It's the platform where data sources undergo the transition from their "delivered" status to becoming "active," thereby rendering them available for practical use.
  • While RSA5 is crucial for transitioning data sources, it's worth noting that the scope of customization is somewhat limited at this stage, primarily focusing on activation rather than modification.
  • Moreover, it acts as a crucial prerequisite to enable the utilization of these data sources in the LBWE transaction, allowing businesses to extract essential data for analysis and reporting purposes.

T-code RSA6 (Managing Active Data Sources):

  • T-code RSA6 plays the role of a central repository where all the currently active data sources within the SAP system are managed.
  • It offers a variety of data source management functionalities, encompassing the creation of new data sources, the display of existing ones, and the ability to modify them.
  • RSA6 has the best customization capability, it allows users to modify fields, hide specific data elements, and control field selection options.
  • RSA6 maintains consistency across both R/3 and BW systems, ensuring that data source management remains standardized and connected regardless of the SAP environment in use.

Key Differences Between  RSA5 vs RSA6

  • RSA5 initiates the activation of data sources, while RSA6 shifts the focus towards continuous management.
  • RSA5 prepares data sources for practical deployment, while RSA6 empowers users with extensive customization capabilities.
  • It's important to note that RSA5 confines customization to a limited extent, whereas RSA6 provides a high degree of flexibility and control over data source management.