DMAG Data Archiving for SAP Landscapes

Overview

DMAG (Data Management and Archiving Genius) is an advanced data archiving solution designed to help organizations efficiently manage historical business data within SAP environments. Built to support modern SAP landscapes such as SAP S/4HANA, DMAG enables enterprises to move archive-ready data from operational systems to secure external storage while maintaining full business context and accessibility.

As organizations grow, SAP systems accumulate large volumes of historical data, which can impact system performance and increase infrastructure costs. DMAG addresses this challenge by providing a structured and governed approach to archiving enterprise data without disrupting day-to-day business operations. The platform moves completed or historical business objects from the SAP operational system to secure archive repositories while ensuring that archived data remains accessible through standard SAP reports and transactions.

DMAG’s key differentiator is its process-chain-based archiving approach, which archives complete business processes such as Quote-to-Cash and Source-to-Pay rather than individual documents. By preserving relationships between sales, delivery, billing, and financial records, DMAG maintains full business context even after archiving.The solution supports flexible archiving based on business scenarios, document ranges, or operational requirements, with storage options across AWS, Microsoft Azure, Google Cloud, Oracle Cloud, and secure offline repositories. Users can seamlessly access archived data through familiar SAP transactions and reports, ensuring quick retrieval without disrupting business operations.With built-in encryption, access controls, monitoring, and governance features, DMAG ensures data security, compliance, and integrity. By combining process-chain archiving, multi-cloud storage, seamless SAP integration, and secure data management, DMAG helps organizations reduce system load, lower infrastructure costs, and strengthen long-term data governance.