MDIS Data Management - 2026 Pricing, Features, Reviews & Alternatives

MDIS Data Management is a metadata-driven data integration tool built for SAS Viya 4, Viya 3.5, and SAS 9 environments. It handles data extraction, data load, data quality verification, data validation, historization (tracking data changes over time), and process orchestration. Data structures, validation rules, historization algorithms, and processes are defined via metadata rather than hand-written code or static data flows, reducing manual development effort across the full project lifecycle. Deployment follows the underlying SAS platform environment, supporting both cloud and on-premises configurations.

Core processing is executed via highly optimized, parallel processing code, with support for distributed tables that enable multi-terabyte Big Data workloads. A graphical interface provides monitoring of data preparation process health, allowing rapid assessment of pipeline status. The tool is suited to organizations in banking and financial services (anti-money laundering, data warehousing), insurance (fraud detection), and government and customs (tax fraud detection) that operate on SAS Viya or SAS 9 platforms.

MDIS Data Management targets organizations requiring data warehousing, data integration, data quality management, or master data management on SAS infrastructure. Metadata parameterization replaces manual coding, shortening development, testing, and change implementation phases. Data management projects can be delivered by small teams within compressed timeframes, reducing both headcount requirements and overall project costs while improving data reliability and system stability.