Best Data Management Software for IBM Z

IBM® Application Discovery and Delivery Intelligence (ADDI) serves as a powerful analytical tool designed for the modernization of applications. By leveraging cognitive technologies, it efficiently analyzes mainframe applications, enabling users to swiftly uncover and comprehend the interdependencies associated with modifications. This rapid enhancement of mainframe applications can significantly contribute to revenue generation and facilitate quicker returns on investments. Moreover, by improving your understanding of application complexity, ADDI helps you foresee potential issues, thereby reducing application and development costs. The platform allows for the agile evolution of systems and applications, maximizing the benefits of hybrid cloud environments. With enhanced application insights, organizations can boost productivity while minimizing risks, effectively accelerating their digital transformation journey. Furthermore, the platform's rapid analysis capabilities enable users to identify relationships among various components of IBM z/OS® applications, providing clarity on the potential impact of changes. Users can quickly locate essential business rules, code snippets, and APIs, empowering them to optimize their business processes and foster innovation. With ADDI, organizations can confidently navigate their modernization efforts and embrace the future of technology.

The ibi Open Data Hub for Mainframe offers immediate access to mainframe data, facilitating smooth integration with a variety of business intelligence applications. By keeping data on the mainframe, it guarantees adherence to security measures and regulatory requirements. The platform minimizes the necessity for custom SQL queries, boosting productivity and enabling quicker, well-informed decisions. Leveraging zIIP specialty engines allows for economical data access by shifting workloads away from general-purpose processors. This innovative solution equips organizations to quickly adapt to market changes and customer needs by delivering thorough and current business data. By streamlining data access without the burden of custom SQL queries, users can quickly retrieve and analyze information, ensuring a swifter decision-making process. Furthermore, real-time access to mainframe data enhances the ability to generate actionable insights, allowing for timely and strategic business decisions.

Hybrid data estates create silos, duplicate datasets, and “unknown” data flows. Teams lose time finding the right data, can’t trace lineage for audits, and take on risk when changes break downstream reports and apps. Rocket® DataEdge™ is a metadata-driven data intelligence, integration, and virtualization platform. It connects and delivers data across heterogeneous systems while adding business and technical context, lineage, and end-to-end visibility so teams can understand what data exists, where it’s used, and how it moves. Key capabilities: • Metadata capture and cataloging with glossary/tags/ownership • Lineage and impact visibility to troubleshoot and govern change • Seamless hybrid data integration plus virtual/federated access • Connectors/APIs for mainframe, distributed, and cloud sources/targets • Policy-driven security/governance controls across environments Outcome: faster time-to-data with fewer brittle pipelines, audit-ready visibility, and more trusted analytics/AI inputs.