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SAP Master Data Governance vs erwin Data Modeler comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 15, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
3.8
Erwin Data Modeler enhances productivity, standardization, and efficiency, providing significant enterprise data management benefits despite ROI measurement challenges.
Sentiment score
5.4
SAP Master Data Governance boosts ROI by reducing data duplications, enhancing service, and achieving $75,000 annual returns.
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.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
It replaces manual charting in Visio with a structured tool, providing significant return on investment.
Data Architect at a energy/utilities company with 10,001+ employees
If the modeling is compromised, then the entire structure will be compromised.
Senior Data Architect at a computer software company with 1,001-5,000 employees
 

Customer Service

Sentiment score
5.4
Erwin Data Modeler's support is skilled and helpful, though response times can improve for complex issues.
Sentiment score
6.0
SAP Master Data Governance's customer service is helpful but slow and non-specific, with satisfaction varying among users.
The quality and speed of their support are excellent; everyone is very helpful, and they can solve problems quickly.
Senior Data Scientist at a consultancy with 10,001+ employees
This rating reflects my ability to effectively utilize the tool and get support for licensing issues, installation errors, or corrupted repositories end-to-end.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
Quest is committed to keeping the product robust.
Data Architect at a energy/utilities company with 10,001+ employees
 

Scalability Issues

Sentiment score
6.7
erwin Data Modeler excels in scalability and adaptability, supporting large models and multi-user collaborations despite occasional performance slowdowns.
Sentiment score
7.1
SAP Master Data Governance scales well for various organizations, though mid-sized businesses face configuration and cost challenges.
I would rate it probably a nine, making it a leader in data modeling.
Data Architect at a energy/utilities company with 10,001+ employees
erwin Data Modeler had a very good standardization infrastructure and supported a controlled multi-user environment with check-ins and check-outs.
Data Metrics Engineer at a financial services firm with 10,001+ employees
Performance can degrade during larger collaborations and requires tuning for optimal performance.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
Regarding scalability when a company is growing, you can scale SAP Master Data Governance.
Governance / Data Governance Initiative Advisory And Strategy Leadership at a consultancy with 1-10 employees
 

Stability Issues

Sentiment score
6.4
Erwin Data Modeler is stable and reliable, though large models and updates can occasionally impact performance.
Sentiment score
7.7
SAP Master Data Governance is stable, scoring 8-9/10, with manageable challenges improving since launch, aligning with SAP standards.
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.
Data Modeler at Capgemini
New versions often introduce enhanced features but may cause model crashes due to memory exhaustion.
Data Architect at a energy/utilities company with 10,001+ employees
Sometimes when I want to open the attribute editor, it stops working and the whole application freezes.
Senior Data Scientist at a consultancy with 10,001+ employees
It has been sold to hundreds of thousands of clients worldwide since its launch in 2006 or 2007.
Governance / Data Governance Initiative Advisory And Strategy Leadership at a consultancy with 1-10 employees
 

Room For Improvement

Erwin Data Modeler needs an updated interface, improved compatibility, better performance, enhanced collaboration, and cloud functionality.
SAP Master Data Governance needs improved usability, data integration, AI enhancements, and support for seamless cross-platform collaboration.
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.
Data Warehouse Architect at a healthcare company with 10,001+ employees
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.
Senior Data Scientist at a consultancy with 10,001+ employees
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.
Data Modeler at Capgemini
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.
Governance / Data Governance Initiative Advisory And Strategy Leadership at a consultancy with 1-10 employees
Regarding SAP Master Data Governance, there is significant room for improvement particularly concerning the replication types.
Lead at LTI - Larsen & Toubro Infotech
 

Setup Cost

erwin Data Modeler is pricey at $6,000 monthly per seat, with varied user opinions on the value compared to alternatives.
SAP Master Data Governance is often seen as costly, but justified by its value; cloud solutions offer cost-efficiency.
For a cloud or SaaS standard edition, it typically runs around two hundred to two hundred ninety-nine US dollars per month.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
It is more targeted toward an enterprise level since organizations looking to store business information and relationship values may consider the pricing.
Data Modeler at Capgemini
 

Valuable Features

Erwin Data Modeler enhances data understanding and integration with visual tools, collaboration, and support for diverse databases.
SAP Master Data Governance offers user-friendly features and robust integration for efficient data management, consolidation, and governance.
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.
SPM at Infosys
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.
Data Metrics Engineer at a financial services firm with 10,001+ employees
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.
Data Modeler at FNB Mozambique
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.
Governance / Data Governance Initiative Advisory And Strategy Leadership at a consultancy with 1-10 employees
 

Categories and Ranking

erwin Data Modeler
Ranking in Data Governance
10th
Average Rating
8.4
Reviews Sentiment
5.7
Number of Reviews
50
Ranking in other categories
Enterprise Architecture Management (1st), Business Process Design (5th)
SAP Master Data Governance
Ranking in Data Governance
17th
Average Rating
7.8
Reviews Sentiment
6.6
Number of Reviews
32
Ranking in other categories
Master Data Management (MDM) Software (2nd)
 

Mindshare comparison

As of May 2026, in the Data Governance category, the mindshare of erwin Data Modeler is 0.4%. The mindshare of SAP Master Data Governance is 1.7%, down from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
erwin Data Modeler0.4%
SAP Master Data Governance1.7%
Other97.9%
Data Governance
 

Featured Reviews

Sushree Panigrahi - PeerSpot reviewer
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
Data modeling has transformed regulatory reporting and collaboration across cloud environments
In erwin Data Modeler, areas that have room for improvement include performance improvements. I see that large models sometimes cause it to be slow when opening. Impact analysis can lag as well. Version control is another aspect. If we have developed a current version, it is not integrated with Git where we can easily compare different versions. UI modernization is also something we cannot utilize as it is primarily for development. Additionally, cloud-specific optimizations are needed when it comes to Snowflake or Databricks. When it comes to AI aspects, auto-suggestions for normalization or identifying primary, foreign, or surrogate keys are areas that can be improved.
reviewer2402049 - PeerSpot reviewer
Governance / Data Governance Initiative Advisory And Strategy Leadership at a consultancy with 1-10 employees
Centralized master data has improved quality and now supports consistent global governance
Regarding what SAP can do better in SAP Master Data Governance, they have an entire roadmap of constant improvements since they deployed the product, always adding new business functionality and add-ons. Each company may have different feedback, wishing for certain features. The essence of SAP Master Data Governance is to provide structure, and from my standpoint, it offers a pretty good structure. There will always be areas for improvement; for example, when I deployed it a few years ago, their approach to internal orders for finance was still new, and they were figuring out how it would work based on organizational requirements. The financial data objects are straightforward, but financial statements are a bit more challenging. 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. I often advise clients to walk before they run because establishing hierarchies requires having a designed structure before implementation, though you can add that later. For additional functions in SAP Master Data Governance, it is interesting because on my project, we are already using AI technology for data cleansing before records are entered into SAP Master Data Governance. It would be beneficial to have the Dun & Bradstreet add-on within SAP Master Data Governance. However, one must remember that for AI to work effectively, it requires good data. Without that, AI does not make a difference. SAP Master Data Governance will always require a human perspective, especially to identify duplicate records. While SAP Master Data Governance provides technical capabilities for identifying potential duplicates based on searches, it requires human oversight due to the complexity of analyzing data fields. I believe integrating AI into the product could work, particularly after a solid data migration, which ensures that the records are reliable before utilizing AI for analytics.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
8%
Government
7%
Performing Arts
5%
Manufacturing Company
13%
Financial Services Firm
8%
Computer Software Company
8%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise3
Large Enterprise38
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise24
 

Questions from the Community

What is your experience regarding pricing and costs for erwin Data Modeler by Quest?
I have no idea about the setup cost because I did not buy the license.
What needs improvement with erwin Data Modeler by Quest?
The UI in erwin Data Modeler can be improved significantly because when any new person opens the tool, all the toolbars are kept open with many tools in view, making it appear chunky. If possible, ...
What is your primary use case for erwin Data Modeler by Quest?
I primarly use erwin Data Modeler for modeling purposes. Once we have the business requirement, we create the models in erwin Data Modeler, and then we perform forward engineering to get the query ...
What is your experience regarding pricing and costs for SAP Master Data Governance?
The challenge with SAP MDG is not only the cost but the resources. The skills required are niche in the market, and while you can purchase the product either one time or on a subscription basis, th...
What needs improvement with SAP Master Data Governance?
Regarding what SAP can do better in SAP Master Data Governance, they have an entire roadmap of constant improvements since they deployed the product, always adding new business functionality and ad...
What is your primary use case for SAP Master Data Governance?
I am currently working with data governance and then advisory and expert for SAP Master Data Governance.
 

Also Known As

erwin DM
SAP MDG, SAP Data Governance
 

Overview

 

Sample Customers

 Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples
Convergent IS, CHIO Aachen, Dell, Hamburg Port Authority (HPA), City of Boston, Mozzart, Mitsui Knowledge Industry (MKI), AOK Bundesverband, eBay
Find out what your peers are saying about SAP Master Data Governance vs. erwin Data Modeler and other solutions. Updated: May 2026.
894,738 professionals have used our research since 2012.