SAS Data Management vs erwin Data Modeler comparison

Why PeerSpot?

Quest Software and SAS are both solutions in the Data Governance category. Quest Software is ranked #10 with an average rating of 8.1, while SAS is ranked #22 with an average rating of 10.0. Quest Software holds a 0.5% mindshare in DG, compared to SAS’s 1.7% mindshare. Additionally, 96% of Quest Software users are willing to recommend the solution, compared to 88% of SAS users who would recommend it.

erwin Data Modeler

Read 54 erwin Data Modeler reviews

9,776 Views
782 Comparison Views

96% willing to recommend

SAS Data Management

Read 19 SAS Data Management reviews

5,709 Views
1,941 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: September 2026).

Buyer's Guide

SAS Data Management vs. erwin Data Modeler

September 2026

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Helped 914,262 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

5.2

Erwin Data Modeler streamlines design, enhancing accuracy and efficiency, reducing errors, and offering significant time and cost savings.

Sentiment score

6.1

SAS Data Management enhances ROI by improving data accuracy and reliability while reducing costs, especially for larger organizations.

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

Reliable data plus less human intervention and less error result in a strong return on investment.

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

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

Customer Service

Sentiment score

5.6

Erwin Data Modeler's support is praised for responsiveness and expertise but sometimes faces slower responses and regional limitations.

Sentiment score

7.3

SAS Data Management customer service is praised for responsiveness and expertise, but experiences vary by region and complexity.

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.

I have had a positive experience with customer support; whenever we reach out to them, they are very responsive and helpful.

AkshayChaudhari

Data Specialist at TCS

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

6.6

Erwin Data Modeler supports enterprise-level scalability and user satisfaction despite performance challenges with large databases and complex schemas.

Sentiment score

7.0

SAS Data Management is scalable and adaptable, efficiently handling extensive data and users across various roles and locations.

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

6.6

erwin Data Modeler is stable and robust, with performance improvements in newer versions despite occasional connection and memory issues.

Sentiment score

7.3

SAS Data Management is stable and efficient, excelling on Linux, though minor issues exist with the Windows client.

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 needs performance boosts, UI updates, version control integration, AI efficiency, cloud support, and user-friendly improvements.

Users seek cost-effective improvements in installation, integration, analytics, cloud scalability, user interface, documentation, and data sharing capabilities.

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 is room for improvement in its AI capabilities, such as automatically suggesting normalization or identifying primary, foreign, or surrogate keys to make modeling more efficient.

AkshayChaudhari

Data Specialist at TCS

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

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

SAS Data Management can be improved in terms of the learning curve.

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

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

Setup Cost

Erwin Data Modeler's robust features justify its high price, despite license management challenges and potential regional pricing adjustments.

SAS Data Management's robust features lead to high costs, perceived as valuable, yet budget constraints may limit adoption.

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.

The experience with pricing, setup cost, and licensing is that the licensing process is painful and quite onerous.

reviewer2888490

Contract Data Architect at a financial services firm with 10,001+ employees

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 collaboration, simplifies database management, and streamlines data architecture with intuitive modeling, integration, and analysis.

SAS Data Management provides reliable interfaces, robust governance, analytics, and security, making it ideal for diverse industries and users.

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

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.

Celso Adamo

Data Modeler at FNB Mozambique

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

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.

Fernanda Knopki

Data Scientist & Scrum Master at Volvo Group

SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform.

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

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

Categories and Ranking

erwin Data Modeler

Ranking in Data Governance

10th

Average Rating

8.4

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Enterprise Architecture Management (1st), Business Process Design (7th)

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 (27th), Data Quality (8th)

Mindshare comparison

As of September 2026, in the Data Governance category, the mindshare of erwin Data Modeler is 0.5%, up from 0.0% compared to the previous year. The mindshare of SAS Data Management is 1.7%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
erwin Data Modeler	0.5%
SAS Data Management	1.7%
Other	97.8%

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.

Read full review

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

Data management has ensured compliant clinical trial datasets and supports reliable analysis

SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform. The other valuable feature is data cleaning and the compliance that SAS Data Management provides. I can connect SAS Data Management with other SAS applications, as I am using SAS Viya, SAS 9.4, and SAS Enterprise Guide. The data query functionality of SAS Data Management is also very useful. Since I am using SAS Data Management, and SAS Data Management is well trusted by all regulatory authorities, the audit trails and security checks are very good. It is very reliable, very time-saving, and the chances of error are minimal.

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Outsourcing Company

Marketing Services Firm

Manufacturing Company

Outsourcing Company

13%

Financial Services Firm

12%

Comms Service Provider

11%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	17
Midsize Enterprise	4
Large Enterprise	44

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	8

Questions from the Community

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

The experience with pricing, setup cost, and licensing is that the licensing process is painful and quite onerous. The setup is okay, but there is room for improvement.

See all answers

What needs improvement with erwin Data Modeler by Quest?

Regarding improvements, the first thing I would mention is that every release has some issues, some of which are related to current functionalities, which means they often seem not very well tested...

See all answers

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

My main use case for erwin Data Modeler is to implement a single data architecture design department so everyone is using erwin Data Modeler for their data models to be a transactional application ...

See all answers

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?

SAS Data Management can be improved in terms of the learning curve.

See all answers

What is your primary use case for SAS Data Management?

My main use case for using SAS Data Management is data cleaning for my clinical trial data because my data is very large, and I need clean, reliable, and regulatory compliance data. My data comes f...

See all answers

Comparisons

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Compared 44% of the time

IDERA ER/Studio vs erwin Data Modeler

Compared 5% of the time

Visio vs erwin Data Modeler

Compared 4% of the time

Sparx Systems Enterprise Architect vs erwin Data Modeler

Compared 4% of the time

Camunda vs erwin Data Modeler

Compared 3% of the time

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Informatica PowerCenter vs SAS Data Management

Compared 8% of the time

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

Compared 7% of the time

WhereScape RED vs SAS Data Management

Compared 6% of the time

Collibra Platform vs SAS Data Management

Compared 5% of the time

Qlik Talend Cloud vs SAS Data Management

Compared 4% of the time

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Product Reports

Buyer's Guide

erwin Data Modeler

September 2026

Download erwin Data Modeler product report

Buyer's Guide

SAS Data Management

August 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

SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.

SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.

What are the key features of SAS Data Management?

User-friendly interface: Intuitive navigation facilitates ease of use.
Easy data flow creation: Streamlines processes for seamless data management.
Scheduling and ETL control: Automates tasks for increased efficiency.
Data integration: Connects datasets from multiple origins.
Metadata management: Ensures consistency and quality of data.
Data governance: Provides tools for managing data compliance.
Robust reporting: Delivers comprehensive insights through detailed reports.

What benefits and ROI should be considered?

Data standardization: Enhances data predictability and usability.
Data quality management: Improves accuracy and integrity.
Flexible language: Adapts to specific user requirements.
Import/export capabilities: Facilitates seamless data transitions.
Support for diverse users: Offers tools suitable for varied skill levels.
Automation features: Saves time by reducing manual processes.

SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.

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

September 2026

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