SAP Data Quality Management vs SAS Data Management comparison

SAP and SAS are both solutions in the Data Quality category. SAP is ranked #8 with an average rating of 7.0, while SAS is ranked #7 with an average rating of 9.0. SAP holds a 3.3% mindshare in DQ, compared to SAS’s 3.3% mindshare. Additionally, 100% of SAP users are willing to recommend the solution, compared to 88% of SAS users who would recommend it.

SAP Data Quality Management

Read 3 SAP Data Quality Management reviews

600 Views
570 Comparison Views

100% willing to recommend

SAS Data Management

Read 18 SAS Data Management reviews

2,052 Views
451 Comparison Views

88% willing to recommend

SAP Data Quality Management

SAS Data Management

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Executive SummaryUpdated on Jan 6, 2025

SAP Data Quality Management and SAS Data Management are competing in the data management solutions category. SAP appears to have an advantage in integration, while SAS has the edge in analytics and data processing capabilities.

Features: SAP Data Quality Management integrates seamlessly with SAP ecosystems, enhances data cleansing, and enriches processes with compatibility. SAS Data Management provides advanced analytics, supports diverse data sources, and offers a flexible platform for complex data transformations.

Ease of Deployment and Customer Service: SAP Data Quality Management is straightforward in SAP environments with efficient deployment and SAP-focused customer support. SAS Data Management enables versatile deployment with extensive documentation, supporting varied infrastructures, while offering responsive customer service with dedicated support teams.

Pricing and ROI: SAP Data Quality Management involves a significant initial investment but offers a strong ROI for businesses using SAP systems by enhancing data quality. SAS Data Management features a flexible pricing model with potentially higher initial costs that are justified by its powerful analytics, promising substantial ROI with enhanced data insights.

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

Buyer's Guide

SAP Data Quality Management vs. SAS Data Management

December 2025

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Review summaries and opinions

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

Categories and Ranking

SAP Data Quality Management

Ranking in Data Quality

8th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

SAS Data Management

Ranking in Data Quality

7th

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Integration (28th), Data Governance (22nd)

Mindshare comparison

As of January 2026, in the Data Quality category, the mindshare of SAP Data Quality Management is 3.3%, down from 4.2% compared to the previous year. The mindshare of SAS Data Management is 3.3%, up from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
SAS Data Management	3.3%
SAP Data Quality Management	3.3%
Other	93.4%

Data Quality

Featured Reviews

VenkatB

Director at Norderia

Embrace efficient data management with integrated features but anticipate some enhancement needs

This tool itself is new. SAP Data Quality Management was brought in by SAP recently, maybe a year or two years back. We just started implementing and we still have not heard exact feedback from the client. It would not be correct if I give feedback now because I don't have accurate feedback from client usage. I feel it is a good tool with some limitations. We compared it with Celonis, which is also one of the other tools in the market. I am more into SAP and S4 HANA, so I am not familiar with all the best tools available in Data Quality Management which can be compatible with SAP. We know there are issues with SAP Data Quality Management. The advantage of this tool that SAP brought is that it is already in-built. You don't need to build another application layer on top of the existing one. The compatibility and response time for these applications within the same database is faster.

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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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Quotes from Members

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

Pros

"Our primary use case is for us to inspect the results from the product and material, and for releasing or leaving the status of the product."

"We work with API standards or norms for internal applications, so it's essential for SSE to have tests and pass those tests according to the criteria, which makes SAP Data Quality Management very important for our products."

"Scalability is good."

"The product offers very good flexibility."

"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."

"If you compare it to SQL, the memory and development times are very quick."

"This is an established product with powerful data analysis and varied options for user entry points."

"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."

"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."

"The platform's robust data governance capabilities ensure strong compliance with regulatory standards."

"I am impressed with the tool's ability to customize."

More SAS Data Management pros

Cons

"There are some limitations. They are not covering complete scenarios for all the modules."

"SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all methods to ensure that the data interface appears on the ME system and that SAP Data Quality Management records the QM results. It would be much easier if the ME system could be integrated directly with SAP Data Quality Management."

"I would like for them to develop a feature to able to record all of our inspections; so all the data can go through SAP. It's not user-friendly or easy to get further analysis, so we mostly skip this step."

"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."

"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."

"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."

"The solution could use better documentation."

"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."

"Integration and cloud migration are areas where we see potential for improvement."

"The solution is quite expensive and hard to install/configure."

"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."

More SAS Data Management cons

Pricing and Cost Advice

Information not available

"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."

"The licensing model for vCenter is a perpetual license with yearly payments."

"The solution is expensive."

"The tool is a bit expensive."

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Top Industries

By visitors reading reviews

Manufacturing Company

17%

Computer Software Company

Retailer

Financial Services Firm

28%

Government

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

What needs improvement with SAP Data Quality Management?

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What is your primary use case for SAP Data Quality Management?

Currently, one of our clients is seeking SAP Data Quality Management solutions, so we are exploring options in that area. The product is not mature yet, so they need to work to improve it. We are a...

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What advice do you have for others considering SAP Data Quality Management?

For smaller organizations, I don't think this much is required. If it is a bigger size client from a business point of view, I definitely recommend this tool. They can use it if they are already us...

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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.

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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Compared 13% of the time

Datactics Data Quality Manager vs SAP Data Quality Management

Compared 9% of the time

Innovative Systems eLation Platform vs SAP Data Quality Management

Compared 8% of the time

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Compared 14% of the time

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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

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Product Reports

Buyer's Guide

Data Quality

January 2026

Download SAP Data Quality Management product report

Buyer's Guide

SAS Data Management

January 2026

Download SAS Data Management product report

Also Known As

SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management

SAS Data Management Platform, Data Management Platform, DataFlux

Overview

SAP BusinessObjects Data Quality Management, version for SAP solutions (DQM for SAP), enables you to embed support for data quality directly into SAP ERP,CRM and MDG applications. Start by entering a new customer, supplier, or partner record using the SAP ERP, SAP CRM , SAP MDG applications. Then this version of SAP BusinessObjects Data Quality Management software corrects components of the address, validates the address based on referential data sources, and formats the address according to the norms of the applicable country. This solution helps in avoiding the duplicate entities entering into your SAP ERP, CRM and MDG applications(supports different MDG data models for address validation and duplicate checks) and also helps in searching and improving your existing data.

SAP

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

AOK Bundesverband, Surgutneftegas Open Joint Stock Company, Molson Coors Brewing Company, City of Buenos Aires, ASR Group, Citrix, EarlySense, Usha International Limited, Automotive Resources International, Wªrth Group, Takisada-Osaka Co. Ltd., Coelba, R

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

SAP Data Quality Management vs. SAS Data Management

December 2025

Free Report: SAP Data Quality Management vs. SAS Data Management

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