

SAP Master Data Governance and erwin Data Modeler compete in the enterprise data management domain. SAP Master Data Governance has the upper hand in master data orchestration and ERP integration, whereas erwin Data Modeler excels in data visualization and modeling.
Features: SAP Master Data Governance offers seamless integration with SAP ERP, efficient data consolidation, and a user-friendly business workflow engine. Erwin Data Modeler excels in reverse engineering, data model comparison, and visual data representations, assisting in complex data integration.
Room for Improvement: SAP Master Data Governance could simplify its configuration processes, enhance the user experience, and bolster marketing outside Europe. Erwin Data Modeler should focus on improving workflow usability, expanding database platform support, and refining its user interface.
Ease of Deployment and Customer Service: SAP Master Data Governance supports diverse environments like public cloud and hybrid setups, but its support can be slow. Erwin Data Modeler works primarily on-premises, while its support is considered helpful but sometimes lacks effective technical assistance.
Pricing and ROI: SAP Master Data Governance's pricing reflects its ERP integration capabilities with user-based licenses, offering significant ROI through data quality maintenance. Erwin Data Modeler's pricing is high, with concurrent licensing offering substantial ROI through effective data modeling and governance.
If three engineers save ten hours each per month using erwin Data Modeler versus manual modeling, that equals three hundred sixty hours saved per year.
It replaces manual charting in Visio with a structured tool, providing significant return on investment.
If the modeling is compromised, then the entire structure will be compromised.
The quality and speed of their support are excellent; everyone is very helpful, and they can solve problems quickly.
This rating reflects my ability to effectively utilize the tool and get support for licensing issues, installation errors, or corrupted repositories end-to-end.
Quest is committed to keeping the product robust.
I would rate it probably a nine, making it a leader in data modeling.
erwin Data Modeler had a very good standardization infrastructure and supported a controlled multi-user environment with check-ins and check-outs.
Performance can degrade during larger collaborations and requires tuning for optimal performance.
Regarding scalability when a company is growing, you can scale SAP Master Data Governance.
This lack of an auto-save methodology can be improved so that if a system crash occurs, work can be saved and rework can be avoided.
New versions often introduce enhanced features but may cause model crashes due to memory exhaustion.
Sometimes when I want to open the attribute editor, it stops working and the whole application freezes.
It has been sold to hundreds of thousands of clients worldwide since its launch in 2006 or 2007.
The previous version of erwin Data Modeler used to crash unaccountably, but this one hasn't ever crashed on me, so it's been a lot more stable than the previous version that we had.
There are many features, and I would expect good documentation detailing each feature, including when and how to use it, to be very useful because data modeling is not very popular in the data area and there aren't many educational videos regarding erwin Data Modeler.
Erwin Data Modeler could improve in areas such as the interface, as there are features like copy and paste, creating duplicates, and the visualization elements and toolbars which feel quite old.
It is not a one-time deployment; it requires ongoing investment in user and product knowledge, and you need to weigh the pros and cons of any IT solution.
Regarding SAP Master Data Governance, there is significant room for improvement particularly concerning the replication types.
For a cloud or SaaS standard edition, it typically runs around two hundred to two hundred ninety-nine US dollars per month.
It is more targeted toward an enterprise level since organizations looking to store business information and relationship values may consider the pricing.
One of the key aspects of data governance is defining the data dictionary and clearly identifying which data is accessible by whom and what is not accessible, particularly regarding PII-related data.
The way the data is organized and you have a visual of that organization helps a great deal in terms of trying to remember what you did and trying to retrieve the information.
Migrating DDLs using erwin Data Modeler is easy because I just connect to the database and generate the data model from what is already implemented, making the process straightforward.
It is important that when you begin this journey of deploying the product, that you do not approach it from a technical standpoint but involve business design from the very beginning.
| Product | Mindshare (%) |
|---|---|
| erwin Data Modeler | 0.4% |
| SAP Master Data Governance | 1.7% |
| Other | 97.9% |

| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 3 |
| Large Enterprise | 38 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 5 |
| Large Enterprise | 24 |
Erwin Data Modeler provides an effective approach to visualizing and managing data models. It assists in creating, reversing, and synchronizing data models with ease, supporting logical and physical transitions while enhancing understanding across teams.
Erwin Data Modeler is a comprehensive tool designed for professional database management. It offers capabilities to organize and enforce standards, automating script generation with robust reverse engineering and DDL output. Users can manage complex data environments, capitalize on integration with data intelligence, and maintain large-scale databases smoothly. Despite its strengths, improvements in multi-language support, database integration, and reporting features are needed. Users benefit from extensive support for conceptual, logical, and physical database modeling, enhancing architectural design and data governance for platforms like SQL Server, Oracle, and Teradata.
What are the key features of Erwin Data Modeler?Erwin Data Modeler finds application in industries focused on robust data management, implementing it for enterprise data warehouses, business domain models, and operational systems. It supports architectural design and governance, aligning with business applications demanding precise data representation and visualization.
SAP Master Data Governance centralizes data governance with a user-friendly interface and robust integration capabilities, ensuring streamlined approval processes and a definitive data source.
SAP Master Data Governance facilitates efficient management of enterprise data through its business workflow engine, seamless integration with ERP and other systems, and multidomain MDM features. It enhances data quality management by addressing duplicates and supports customization for data standardization. The system offers flexible reporting and efficient data replication while maintaining data centralization.
What are SAP Master Data Governance's key features?SAP Master Data Governance is widely implemented in industries such as procurement and finance for managing materials, customer, and vendor data. It offers customizable data models to support specific requirements, enabling efficient data management and integration across distributed systems.
We monitor all Data Governance reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.