SAS Data Management vs erwin Data Modeler comparison

Quest Software and SAS are both solutions in the Data Governance category. Quest Software is ranked #15 with an average rating of 8.4, while SAS is ranked #22 with an average rating of 9.0. Quest Software holds a 0.3% mindshare in DG, compared to SAS’s 1.4% mindshare. Additionally, 95% of Quest Software users are willing to recommend the solution, compared to 88% of SAS users who would recommend it.

erwin Data Modeler

Read 46 erwin Data Modeler reviews

5,210 Views
156 Comparison Views

95% willing to recommend

SAS Data Management

Read 18 SAS Data Management reviews

2,052 Views
616 Comparison Views

88% willing to recommend

erwin Data Modeler

SAS Data Management

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between SAS Data Management and erwin Data Modeler based on real PeerSpot user reviews.

Find out in this report how the two Data Governance solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed SAS Data Management vs. erwin Data Modeler Report (Updated: December 2025).

Buyer's Guide

SAS Data Management vs. erwin Data Modeler

December 2025

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Helped 881,082 peers since 2012

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

4.8

erwin Data Modeler improves productivity and efficiency with enhanced data management, governance, and automation, offering significant time savings.

Sentiment score

5.8

SAS Data Management boosts data accuracy, reduces storage costs, and is vital in banking, finance, and pharmaceutical sectors.

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.

Sushree Panigrahi

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.

Anthony Woods

Data Architect at a energy/utilities company with 10,001+ employees

If the modeling is compromised, then the entire structure will be compromised.

reviewer2795649

Senior Data Architect at a computer software company with 1,001-5,000 employees

For more quotes and insights, download the erwin Data Modeler report

No quotes available

For more quotes and insights, download the SAS Data Management report

Customer Service

Sentiment score

6.0

Erwin Data Modeler support is helpful and proactive, with minor delays; ratings are generally between seven to nine.

Sentiment score

7.1

Customer service satisfaction with SAS Data Management is high, despite regional differences and limited online resources, thanks to responsive support.

The quality and speed of their support are excellent; everyone is very helpful, and they can solve problems quickly.

Yang Jiao

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.

Sushree Panigrahi

Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.

Quest is committed to keeping the product robust.

Anthony Woods

Data Architect at a energy/utilities company with 10,001+ employees

For more quotes and insights, download the erwin Data Modeler report

The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.

Fernanda Knopki

Data Scientist & Scrum Master at Volvo Group

For more quotes and insights, download the SAS Data Management report

Scalability Issues

Sentiment score

6.5

Erwin Data Modeler is scalable, supporting multiple platforms, handling complex architectures, and suitable for cloud and on-premise use.

Sentiment score

6.8

SAS Data Management is highly scalable, supporting enterprise tasks with robust servers, comparable to Oracle and Microsoft solutions.

I would rate it probably a nine, making it a leader in data modeling.

Anthony Woods

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.

Monisha Sharma

Data Metrics Engineer at a financial services firm with 10,001+ employees

Performance can degrade during larger collaborations and requires tuning for optimal performance.

Sushree Panigrahi

Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.

For more quotes and insights, download the erwin Data Modeler report

No quotes available

For more quotes and insights, download the SAS Data Management report

Stability Issues

Sentiment score

6.0

erwin Data Modeler is stable and reliable, but performance and memory issues can occur with large models and older versions.

Sentiment score

7.2

SAS Data Management is highly stable, especially on Linux, but might need client-side configurations for optimal performance.

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.

Khadarvalli Phatan

Data Modeler at Capgemini

New versions often introduce enhanced features but may cause model crashes due to memory exhaustion.

Anthony Woods

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.

Yang Jiao

Senior Data Scientist at a consultancy with 10,001+ employees

For more quotes and insights, download the erwin Data Modeler report

No quotes available

For more quotes and insights, download the SAS Data Management report

Room For Improvement

Erwin Data Modeler users seek improvements in user interface, big data support, API documentation, and broader database compatibility.

SAS Data Management needs improved usability, licensing, integration, cloud features, scalability, stability, and enhanced automated reporting and documentation.

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.

Alton Thibodeaux

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.

Yang Jiao

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.

Khadarvalli Phatan

Data Modeler at Capgemini

For more quotes and insights, download the erwin Data Modeler report

There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.

SantoshTiwari

Associate Director at Woodpecker Analytics & Services

For more quotes and insights, download the SAS Data Management report

Setup Cost

Erwin Data Modeler provides flexible licensing but can be costly compared to open-source alternatives, with moderate maintenance fees.

SAS Data Management is powerful but costly, with affordability challenges for businesses, though educational trials and market-based pricing options exist.

For a cloud or SaaS standard edition, it typically runs around two hundred to two hundred ninety-nine US dollars per month.

Sushree Panigrahi

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.

Khadarvalli Phatan

Data Modeler at Capgemini

For more quotes and insights, download the erwin Data Modeler report

From my experience, SAS Data Management is an expensive tool.

SantoshTiwari

Associate Director at Woodpecker Analytics & Services

For more quotes and insights, download the SAS Data Management report

Valuable Features

Erwin Data Modeler enhances database management with visualization, version control, automation, and adaptability, fostering efficient collaboration and governance.

SAS Data Management provides user-friendly, comprehensive data handling with strong integration, quality, governance, and flexible connectivity features.

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.

Asish Sahu

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.

Monisha Sharma

Data Metrics Engineer at a financial services firm with 10,001+ employees

One of the best aspects of the tool is its reverse engineering capability.

Anthony Woods

Data Architect at a energy/utilities company with 10,001+ employees

For more quotes and insights, download the erwin Data Modeler report

SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.

SantoshTiwari

Associate Director at Woodpecker Analytics & Services

Fernanda Knopki

Data Scientist & Scrum Master at Volvo Group

For more quotes and insights, download the SAS Data Management report

Categories and Ranking

erwin Data Modeler

Ranking in Data Governance

15th

Average Rating

8.6

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

Enterprise Architecture Management (2nd), Business Process Design (8th)

SAS Data Management

Ranking in Data Governance

22nd

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Integration (28th), Data Quality (7th)

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of erwin Data Modeler is 0.3%. The mindshare of SAS Data Management is 1.4%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Market Share Distribution
Product	Market Share (%)
erwin Data Modeler	0.3%
SAS Data Management	1.4%
Other	98.3%

Data Governance

Featured Reviews

Sushree Panigrahi

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.

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Fernanda Knopki

Data Scientist & Scrum Master at Volvo Group

Has supported centralized data access and improved governance through unified administration

The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS. The data integration tools with SAS Data Management were quite good because they allowed me to do all lineage, to manage and see all the variables, find the libraries where the data is, and understand the data in just one tool. Offering another development environment combining code and predefined objects, where I could just drag and drop to achieve what I needed, although some objects were not too good, but some were effective. The metadata management feature of SAS Data Management helps a lot; creating your data marts or data lake with good naming conventions, library conventions, and so on is very important because it allows easy queries to find the whole structure, though I think metadata governance also depends on first definitions, not only on the tool. SAS Data Management is very good for data governance; for me, it was the best tool I worked with in data management, although I don't have too much experience with others, and it truly helped a lot.

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Government

Manufacturing Company

Performing Arts

Financial Services Firm

28%

Government

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	15
Midsize Enterprise	3
Large Enterprise	34

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	1
Large Enterprise	8

Questions from the Community

What is your experience regarding pricing and costs for erwin Data Modeler by Quest?

Regarding pricing, I am unsure what the exact price is for erwin Data Modeler, but I believe it is not useful for an individual. It is more targeted toward an enterprise level since organizations l...

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What needs improvement with erwin Data Modeler by Quest?

I write code and I write code accessing erwin Data Modeler's API, the Application Programming Interface, so that I can use Excel to update erwin Data Modeler and then get those updates and put them...

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What is your primary use case for erwin Data Modeler by Quest?

I work for CVS with a pretty big database as a data modeler on the PBMs, the Caremark PBM side, which is the Pharmacy Benefits Manager. There's a retail side too for all the stores, but our data wa...

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What is your experience regarding pricing and costs for SAS Data Management?

From my experience, SAS Data Management is an expensive tool.

See all answers

What needs improvement with SAS Data Management?

There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.

See all answers

What is your primary use case for SAS Data Management?

The main idea for using SAS Data Management was to bring all data inside SAS. I brought the finance area and the sales area in the company that I have worked, along with some market planning data, ...

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Comparisons

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Compared 41% of the time

IDERA ER/Studio vs erwin Data Modeler

Compared 11% of the time

Lucidchart vs erwin Data Modeler

Compared 7% of the time

Visio vs erwin Data Modeler

Compared 5% of the time

Sparx Systems Enterprise Architect vs erwin Data Modeler

Compared 4% of the time

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Informatica Intelligent Data Management Cloud (IDMC) vs SAS Data Management

Compared 14% of the time

Collibra Platform vs SAS Data Management

Compared 10% of the time

Informatica PowerCenter vs SAS Data Management

Compared 6% of the time

Qlik Talend Cloud vs SAS Data Management

Compared 6% of the time

Protegrity’s Data Protection Platform vs SAS Data Management

Compared 5% of the time

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Product Reports

Buyer's Guide

erwin Data Modeler

January 2026

Download erwin Data Modeler product report

Buyer's Guide

SAS Data Management

January 2026

Download SAS Data Management product report

Also Known As

erwin DM

SAS Data Management Platform, Data Management Platform, DataFlux

Overview

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?

Visual Representation: Facilitates clear visualization of data models, aiding comprehension.
Versioning and Editing: Enhance usability with versioning and bulk editing capabilities.
Reverse Engineering: Offers powerful tools for reverse engineering and DDL generation.
Integration: Aligns with data intelligence to streamline database management.
Naming Standards: Enforces consistency with automated script creation.

What benefits should users consider in Erwin Data Modeler reviews?

Collaboration: Promotes team understanding and collaboration through visual tools.
Automation: Reduces manual effort through automated processes and integration.
Scalability: Handles large database management efficiently, crucial for enterprise settings.
Data Governance: Facilitates effective data governance with structured modeling.

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.

Quest Software

Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.

SAS

Sample Customers

Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples

Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance

Buyer's Guide

SAS Data Management vs. erwin Data Modeler

December 2025

Free Report: SAS Data Management vs. erwin Data Modeler

Find out what your peers are saying about SAS Data Management vs. erwin Data Modeler and other solutions. Updated: December 2025.

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