SAS Data Management vs erwin Data Intelligence comparison

Quest Software and SAS are both solutions in the Data Governance category. Quest Software is ranked #30, while SAS is ranked #22 with an average rating of 9.0. Quest Software holds a 1.9% mindshare in DG, compared to SAS’s 1.3% mindshare. Additionally, 100% of Quest Software users are willing to recommend the solution, compared to 88% of SAS users who would recommend it.

erwin Data Intelligence

Read 18 erwin Data Intelligence reviews

2,712 Views
2,685 Comparison Views

100% willing to recommend

SAS Data Management

Read 18 SAS Data Management reviews

1,849 Views
518 Comparison Views

88% willing to recommend

erwin Data Intelligence

SAS Data Management

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 23, 2025

SAS Data Management and erwin Data Intelligence are both formidable players in the data management sphere. SAS Data Management seems to have the upper hand due to its advanced ETL and data integration capabilities, which are crucial for enterprises focusing on data quality and governance.

Features: SAS Data Management supports robust ETL processes, extensive data integration, and powerful automation scripts, enabling enterprises to swiftly develop and execute data solutions. Its metadata management and governance tools are highly valued, especially for ensuring data security and accessibility. On the other hand, erwin Data Intelligence focuses on metadata management, providing a comprehensive data catalog and enhanced data lineage features. This allows business users to achieve data visibility, simplifying data governance and adaptability through its centralized platform. Erwin’s Smart Data Connectors bolster code generation and data mapping capabilities, enhancing process automation.

Room for Improvement: SAS Data Management users highlight the need for more flexible licensing options, streamlined cloud integrations, and a user-friendly interface to reduce administrative overhead. Meanwhile, erwin Data Intelligence could benefit from improved automation support, better handling of large datasets, and enhanced AI functionalities. Both solutions face certain integration challenges, with licensing being a common complication, although erwin excels in environments demanding detailed data curation.

Ease of Deployment and Customer Service: SAS primarily offers on-premise and hybrid deployment options, coupled with responsive technical support, yet customer service experiences can vary. In contrast, erwin’s diverse cloud deployment strategies, alongside positive feedback for customer service and technical support, provide a competitive edge, although some areas still require attention.

Pricing and ROI: SAS Data Management is perceived as expensive, with high licensing fees proving a barrier for smaller organizations. Despite this, it offers substantial ROI through enhanced data management capabilities. Erwin Data Intelligence presents more competitive pricing, particularly advantageous for large businesses focusing on comprehensive governance strategies. Both systems are acknowledged for driving significant ROI by boosting data reliability and operational efficiency.

To learn more, read our detailed Data Governance Report (Updated: November 2025).

Buyer's Guide

Data Governance

November 2025

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Helped 876,331 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

6.4

Erwin Data Intelligence improved productivity, reduced costs, and accelerated project delivery through efficient data management and cloud-based implementation.

Sentiment score

5.8

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

No quotes available

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No quotes available

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Customer Service

Sentiment score

8.6

Erwin Data Intelligence's customer support is knowledgeable and accommodating but occasionally experiences delays despite high user ratings.

Sentiment score

7.1

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

No quotes available

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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

8.0

Erwin Data Intelligence offers scalability, connecting multiple data sources, with potential for growth despite performance slowing with large datasets.

Sentiment score

6.8

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

No quotes available

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No quotes available

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Stability Issues

Sentiment score

8.2

Erwin Data Intelligence is stable and reliable, with minimal issues mostly due to platform constraints rather than the tool.

Sentiment score

7.2

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

No quotes available

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No quotes available

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Room For Improvement

Erwin Data Intelligence needs improvements in usability, customization, compatibility, AI support, and performance for large datasets.

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

No quotes available

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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

Enterprise buyers find erwin Data Intelligence pricing competitive despite high per-user and infrastructure costs, especially for large organizations.

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

No quotes available

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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 Intelligence offers automation scripting, data lineage, customizable metadata, and seamless technology integration with an intuitive interface.

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

No quotes available

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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 Intelligence

Ranking in Data Governance

30th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

AI Governance (17th)

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 (9th)

Mindshare comparison

As of December 2025, in the Data Governance category, the mindshare of erwin Data Intelligence is 1.9%, down from 2.2% compared to the previous year. The mindshare of SAS Data Management is 1.3%, 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 (%)
SAS Data Management	1.3%
erwin Data Intelligence	1.9%
Other	96.8%

Data Governance

Featured Reviews

reviewer2056512

Works at a insurance company with 5,001-10,000 employees

Enables fast delivery of data pipelines, is easy to install, and requires minimal maintenance

We were fairly impressed with the Smart Data Connectors for reverse or forward engineering to automate the delivery and maintenance of data pipelines. However, our SSIS packages are extremely complex, and we pass a lot of variables. It makes it extremely hard for any kind of reverse-engineering automation. While we were impressed with what it was able to do, it wasn't great for us. The level of distraction that exists within the packages, passing parameters and variables down through several levels of containers, makes it very difficult to consume. In more complex use cases, it's hard to follow it and map all the metadata correctly. It's a little bit clunky. I think a lot of these features were bolted on, and they don't necessarily transition smoothly in the interface. I would like to see a little more cohesion.

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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

Computer Software Company

25%

Financial Services Firm

11%

Government

Insurance Company

Financial Services Firm

29%

Computer Software Company

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	4
Large Enterprise	14

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

Questions from the Community

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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.

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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.

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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

Microsoft Purview Data Governance vs erwin Data Intelligence

Compared 28% of the time

Collibra Governance vs erwin Data Intelligence

Compared 21% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs erwin Data Intelligence

Compared 13% of the time

Alation Data Catalog vs erwin Data Intelligence

Compared 11% of the time

BigID vs erwin Data Intelligence

Compared 5% of the time

More erwin Data Intelligence Competitors

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

Compared 15% of the time

Collibra Governance vs SAS Data Management

Compared 10% of the time

Protegrity’s Data Protection Platform vs SAS Data Management

Compared 9% of the time

Qlik Talend Cloud vs SAS Data Management

Compared 7% of the time

IBM Cloud Pak for Data vs SAS Data Management

Compared 3% of the time

More SAS Data Management Competitors

Product Reports

Buyer's Guide

erwin Data Intelligence

November 2025

Download erwin Data Intelligence product report

Buyer's Guide

SAS Data Management

November 2025

Download SAS Data Management product report

Also Known As

erwin DG, erwin Data Governance

SAS Data Management Platform, Data Management Platform, DataFlux

Overview

Erwin Data Intelligence drives automation, supports data catalog and literacy, and offers Smart Data Connectors for efficient metadata handling. Its customization flexibility and integration facilitate enhanced data governance, visualization, analysis, and compliance.

Erwin Data Intelligence offers automation scripts that accelerate development, integrated data cataloging, data profiling, and lineage analysis to streamline information management. Users appreciate its capability in metadata harvesting, code engineering, and infrastructure integration. The tool provides flexibility to enhance governance and data visualization. While it performs well, users have noted challenges with API robustness and interface complexity, and there are opportunities to improve workflow integration, AI features, and large dataset handling. Companies rely on it for metadata management, automation of metadata mappings, and data governance to support compliance and literacy.

What are the main features of Erwin Data Intelligence?

Automation Scripts: Speeds up development processes through powerful scripts.
Data Catalog: Supports comprehensive data mapping and profiles for better analysis.
Smart Data Connectors: Efficiently handles code engineering and metadata harvesting.
Customization Flexibility: Adapts to existing infrastructure for seamless integration.
Comprehensive Visualization: Empowers data visualization and standardization processes.

What benefits and ROI can users expect?

Increased Development Speed: Automation scripts notably enhance development efficiency.
Improved Data Governance: Streamlines processes, supporting compliance and business definitions.
Effective Integration: Seamlessly fits with ETL tools and existing workflows.
Enhanced Data Literacy: Supports data literacy initiatives with robust cataloging features.
Comprehensive Impact Analysis: Facilitates thorough analysis for informed decision-making.

In industries such as finance, healthcare, and retail, organizations implement Erwin Data Intelligence for efficient metadata management and governance. It assists in automating lineage and mapping, supporting ETL procedures while enhancing compliance and data literacy efforts. Its flexibility and integration support create valuable data insights and governance improvements.

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

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

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

Find out what your peers are saying about Microsoft, Informatica, Varonis and others in Data Governance. Updated: November 2025.

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