SAP Data Quality Management vs SAS Viya Platform comparison

SAP Data Quality Management vs. SAS Viya Platform

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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

11th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

SAS Viya Platform

Ranking in Data Quality

9th

Average Rating

7.8

Reviews Sentiment

5.2

Number of Reviews

Ranking in other categories

Data Integration (28th), Data Governance (20th), Data Management Platforms (DMP) (8th)

Mindshare comparison

As of July 2026, in the Data Quality category, the mindshare of SAP Data Quality Management is 3.5%, down from 3.9% compared to the previous year. The mindshare of SAS Viya Platform is 1.4%. It is calculated based on PeerSpot user engagement data.

Data Quality Mindshare Distribution
Product	Mindshare (%)
SAS Viya Platform	1.4%
SAP Data Quality Management	3.5%
Other	95.1%

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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Khushal Jdai

Assistant Manager Data Analytics (WFM) at Johari Digital Healthcare Limited

Modern analytics has transformed large data into faster insights and streamlined reporting

There are some areas of improvement I would mention regarding SAS Viya Platform. New users may find it complex initially, as its learning curve can be steep. Understanding CAS and different components is very challenging for a new user. The cost is also quite high; SAS Viya Platform via SaaS can be expensive compared to some open-source or other cloud alternatives. There are also some limitations in Visual Analytics. While it is easy to use, it could be more flexible compared to Power BI or Tableau. These are the main improvement areas where SAS Viya Platform should focus. I would add some additional pointers about needed improvements in SAS Viya Platform. Regarding customer support, it is good, but the response time for complex issues can sometimes be slower than expected. The documentation and learning resources are not very beginner-friendly, making it challenging for beginners to navigate. Regarding integration, it could be smoother with Databricks, Snowflake, and Power BI, but it is more complex than it should be. Since updates are automatic, users are sometimes not fully aware of changes or new features that are being updated, as compared to Power BI, which publishes updates on its website. SAS Viya Platform should work on these aspects.

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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

"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."

"Scalability is good."

"In my experience, the best feature of SAS Viya Platform is that it is very quick in doing the analysis, does the job very quickly and very well without any issues, and I was able to do multiple analyses at the same time."

"SAS Viya Platform has positively impacted my organization, as previously I was using SAS 9.4, and after migrating to SAS Viya Platform, we are able to present the data in useful ways that save our time and give sponsors a new opportunity to look at the data, which is a very good thing."

"Many good things stand out about SAS Viya Platform, including that it is a very mature tool, very reliable, and performs very consistently."

"SAS Viya Platform is a great tool for our data analytics purpose, particularly how data profiling stands out compared to other tools impressed me."

"SAS Viya Platform has positively impacted my organization by saving time compared to when we were using SAS 9.4, as we can now work on two to three projects simultaneously within one hour, which is a significant improvement."

"SAS Viya Platform brought several positive outcomes to my project: the centralized investigation platform, real-time fraud detection with Kafka streams scored in real time, improved reporting via SAS Visual Analytics, and the ability to scale for larger businesses."

"Using SAS Viya Platform, I saw approximately a thirty to forty percent reduction in data processing time due to CAS in-memory computing, and I also reduced manual reporting efforts by approximately forty to fifty percent through automation and self-service dashboards, which definitely saved resources for my organization."

"Eliminating the need for separate visualization tools has greatly affected my team's workflow because it is just one integrated tool, one integrated platform."

More SAS Viya Platform pros

Cons

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

"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."

"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."

"SAS Viya Platform has a bit of a learning curve. It was not easy to start with."

"I have one complaint about SAS Viya Platform: it offers so many options in each application that someone new who is not familiar with SAS functionality might have trouble, as the learning curve can be very hard for a new learner."

"The cost is also quite high; SAS Viya Platform via SaaS can be expensive compared to some open-source or other cloud alternatives."

"I would advise others looking into using SAS Viya Platform to go ahead if their budget allows."

"On the integration side, the PROC HTTP-based indexing is fragile."

"I think SAS Viya Platform could be improved as it is a little bit limited; for instance, you have to purchase specific features such as charts and quality control, so it is not a full analytics product."

"It was very difficult to build the required calculations directly on the reporting side, and we sometimes struggled."

"I rate it a nine because for a fresher, the platform might not be entirely intuitive."

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Top Industries

By visitors reading reviews

Manufacturing Company

11%

Construction Company

Comms Service Provider

Financial Services Firm

Construction Company

26%

Manufacturing Company

14%

Healthcare Company

10%

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	9
Large Enterprise	7

Questions from the Community

What needs improvement with SAP Data Quality Management?

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...

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...

What is your experience regarding pricing and costs for SAS Viya Platform?

I am not much aware of the pricing, setup cost, and licensing of SAS Viya Platform because that was handled by the administrator. However, I do not think it is too costly to use. I never did a comp...

What needs improvement with SAS Viya Platform?

One thing I expect more from SAS Viya Platform, specifically on the report side, is how the calculations work. It is not that strong in that sense. It was very difficult to build the required calcu...

What is your primary use case for SAS Viya Platform?

I have used SAS Viya Platform for almost three years in various ways, including preparing data, using it, generating extracts, and sending them through email to users. We also built an internal das...

SAP Information Steward vs SAP Data Quality Management

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Product Reports

Data Quality

Download SAP Data Quality Management product report

SAS Viya Platform

Download SAS Viya Platform product report

Also Known As

SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management

No data available

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 Viya Platform is an advanced data management and analytics tool designed to deliver powerful insights and foster collaboration across teams. It provides flexible and scalable solutions for data analysis, perfect for tech-savvy professionals seeking robust analytics capabilities.

SAS Viya Platform enhances data-driven decisions with its cloud-enabled analytics capabilities. By supporting open-source integration and visual data manipulation, it caters to a diverse range of analytical needs. Its innovative approach to machine learning and AI streamlines operations, helping companies achieve efficient data utilization strategies across departments. Offering robust technical support, it facilitates seamless implementation and rapid adoption, making it ideal for informed analytics exploration.

What are the key features of SAS Viya Platform?

Open Integration: Easily integrates with open-source tools, enhancing adaptability and flexibility.
Scalable Architecture: Designed for easy scalability to accommodate growing data needs.
Machine Learning Capabilities: Offers innovative machine learning tools for enhanced predictive analytics.
Visual Data Exploration: Provides intuitive visual interfaces for comprehensive data analysis.
Robust Security: Ensures data protection with advanced security measures.

What benefits or ROI should users look for in reviews?

Enhanced Efficiency: Increases operational efficiency with streamlined data processes and workflows.
Cost-Effective Scalability: Lowers costs by offering flexible and scalable solutions.
Comprehensive Support: Offers extensive technical support for smooth adoption and use.
Improved Decision-Making: Provides deep insights that inform strategic decisions.
Data-Driven Innovation: Encourages innovative approaches in analytics through powerful tools.

SAS Viya Platform is widely adopted across industries like banking, healthcare, and retail, offering tailored analytics solutions to address industry-specific challenges. In healthcare, for instance, it streamlines patient data insights, while in banking, it optimizes fraud detection processes. In retail, it enhances customer experience analytics, demonstrating its versatile application.

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

Information Not Available

SAP Data Quality Management vs. SAS Viya Platform