SAP Data Quality Management vs SAS Data Management comparison

SAP and SAS are both solutions in the Data Quality category. SAP is ranked #9 with an average rating of 7.0, while SAS is ranked #7 with an average rating of 9.0. SAP holds a 3.5% mindshare in DQ, compared to SAS’s 3.4% 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

1,056 Views
1,024 Comparison Views

100% willing to recommend

SAS Data Management

Read 18 SAS Data Management reviews

3,799 Views
874 Comparison Views

88% willing to recommend

SAP Data Quality Management

SAS Data Management

Comparison Buyer's Guide

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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: April 2026).

Buyer's Guide

SAP Data Quality Management vs. SAS Data Management

April 2026

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Helped 893,244 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:

Categories and Ranking

SAP Data Quality Management

Ranking in Data Quality

9th

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 (23rd)

Mindshare comparison

As of May 2026, in the Data Quality category, the mindshare of SAP Data Quality Management is 3.5%, down from 4.0% compared to the previous year. The mindshare of SAS Data Management is 3.4%, up from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Mindshare Distribution
Product	Mindshare (%)
SAS Data Management	3.4%
SAP Data Quality Management	3.5%
Other	93.1%

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

"Scalability is good."

"The scalability within the SAP function is good."

"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."

"The monitoring capabilities are very good."

"The product offers very good flexibility."

"The tool is reliable, quick, and powerful."

"The technical support is excellent."

"The ROI can be very high in terms of improving the reliability and accuracy of data used in forecasting and marketing models (ex: customer data, sales data)."

"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."

"There is a huge ROI."

More SAS Data Management pros

Cons

"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."

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

"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."

"I would like for them to develop a feature to be 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."

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

"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."

"For the amount of features that we use, the licensing is expensive."

"Costly. Not great for non-ETL use cases."

"I would like the tool to include the ability to automate the modifications of the integrations."

"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."

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

"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."

More SAS Data Management cons

Pricing and Cost Advice

Information not available

"The tool is a bit expensive."

"The solution is expensive."

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

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

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Top Industries

By visitors reading reviews

Manufacturing Company

14%

Construction Company

Transportation Company

Financial Services Firm

20%

Healthcare Company

Government

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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Product Reports

Buyer's Guide

Data Quality

May 2026

Download SAP Data Quality Management product report

Buyer's Guide

SAS Data Management

April 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 Data Quality Management ensures accurate and consistent data across business processes, enhancing data accuracy and supporting informed decision-making. This solution helps maintain appropriate data standards and compliance, driving operational efficiency and reducing risks.

SAP Data Quality Management integrates seamlessly into existing enterprise systems, providing tools for data cleansing, data validation, and ongoing quality monitoring. Designed for complex environments, it supports real-time data validation and correction, which is essential for maintaining reliable and actionable data. This allows businesses to leverage clean and consistent data, enabling strategic insights and optimizing process efficiency.

What are the valuable features of SAP Data Quality Management?

Real-time Data Validation: Ensures immediate checks for data accuracy as it enters the system.
Data Cleansing: Automates identification and correction of errors and inconsistencies.
Address Standardization: Corrects and formats addresses according to local postal standards.
Geocoding: Converts addresses into accurate geographical coordinates for better location-based decision-making.

What benefits or ROI should users look for in reviews?

Enhanced Decision-Making: Improved data accuracy contributes to informed business decisions.
Reduced Operational Costs: Minimizes manual corrections and data rework, saving time and resources.
Regulatory Compliance: Helps meet industry standards and regulations by maintaining high data quality.
Increased Customer Satisfaction: Accurate order processing and delivery improve customer experience.

SAP Data Quality Management's flexible deployment options suit industries like retail, healthcare, and logistics. Each sector benefits from tailored implementations; retailers gain from improved customer data accuracy, logistics companies optimize routes with better geocoding data, and healthcare providers ensure compliance with stringent data standards.

SAP

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

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

April 2026

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