© 2019 SourceMedia. All rights reserved.
MDM & Data Governance revised.jpg
12 top reference data management providers
Each year, the MDM Institute releases its list of the top reference data management products on the market. Chief Research Officer Aaron Zornes says 12 products deserver such recognition this year, and they are profiled below. Zornes will discuss what makes for a top RDM product in detail at the upcoming MDM & Data Governance Summit in New York City, November 4-6.
ASG metaRDM.jpg
ASG metaRDM
ASG metaRDMis a user-friendly solution which integrates common UI across metaRDM, features a business glossary and Rochade metadata repository apps. The product offers foundational compliance via integrated data lineage and impact analysis capabilities, and strong taxonomy and hierarchical management of reference data.
Collibra Reference Data Accelerator.jpg
Collibra Reference Data Accelerator
The Collibra product features centralized governance, management stewardship and distribution. It is a business user friendly solution with strong taxonomy support and mappings, model-driven ease of deployment, implementation and use.
IBM Reference Data Management Hub.jpg
IBM Reference Data Management Hub
The IBM product offers purpose-built, commercially-proven RDM. It utilizes the IBM MDM foundation and features full function and strong taxonomy support and mappings, ease of deployment, implementation and use.
Informatica Cloud MDM Reference 360.jpg
Informatica Cloud – MDM Reference 360
The Informatica product offers purpose-built, commercially-proven RDM. It utilizes the INFA CloudMDM foundation and features full function and strong taxonomy support and mappings, ease of deployment, implementation and use.
Kalido by Magnitude Reference Data Management.jpg
Kalido by Magnitude Reference Data Management
The Kalido product offers rich visual modeling. It was an embedded workflow engine for stewardship and governance. It also features a domain-agnostic matching engine, enterprise-scalable architecture and data and workflow level security.
Oracle Data Relationship Management.jpg
Oracle Data Relationship Management
The Oracle RDM product features a corollary DRG workflow engine for stewardship and governance, sophisticated hierarchy management, enterprise-scalable architecture and customizable user interfaces for business self-service.
Orchestra Networks EBX5 for RDM.jpg
Orchestra Networks EBX5 for RDM
Orchestra Networks offers a fully integrated MDM/MDG/RDM product. It can be used as RDM or integrated with MDG and MDM. It is enterprise scalable, has strong dimension and hierarchy management, and features business user focus, configurable, role specific and data-driven UIs.
Profisee Maestro (Reference Data).jpg
Profisee Maestro (Reference Data)
The Profisee product is bundled as part of an MDM suite. It offers strong support for selective merging of metadata from physical MDM reference metadata, logical models in ERwin and external data. The product is especially targeted to the banking, insurance, retail, healthcare, gaming and hospital markets.
Semarchy xDM v4.jpg
Semarchy xDM v4
The Semarchy product offers an iterative, agile methodology, a flexible architecture and is a single platform for MDM and RDM. Its workbench simplifies physical MDM and allows it to focus on a logical model.
Software AG webMethods OneData 9.9.jpg
Software AG webMethods OneData 9.9
Software AG offers a robust solution for centralized data governance, management, stewardship and distribution. It has proven multi-domain RDM capabilities, deep cross-referencing and hierarchy capabilities, strong taxonomy support and mappings for public and private reference data.
Teradata LRDM.jpg
Teradata LRDM
The Teredata product includes hierarchy management, workflow and visioning, strong Excel integration, ease of deployment, implementation and use.
TopQuadrants TopBraid RDM.jpg
TopQuadrant’s TopBraid RDM
TopQuadrant offers a robust web-based self-service solution with a focus on integration with other tools to provide ‘full spectrum’ reference data. It features model-driven ease of deployment, use and extension and supports comprehensive ‘metadata about reference data’ and strong taxonomy and mappings.