SAP Data Hub vs SAS Viya Platform comparison

SAP and SAS are both solutions in the Data Governance category. SAP is ranked #33, while SAS is ranked #28 with an average rating of 8.0. Additionally, 66% of SAP users are willing to recommend the solution, compared to 100% of SAS users who would recommend it.

SAP Data Hub

Read 3 SAP Data Hub reviews

1,296 Views
687 Comparison Views

66% willing to recommend

SAS Viya Platform

Read 2 SAS Viya Platform reviews

661 Views
106 Comparison Views

100% willing to recommend

SAP Data Hub

SAS Viya Platform

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between SAP Data Hub and SAS Viya Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance.

To learn more, read our detailed Data Governance Report (Updated: March 2026).

Buyer's Guide

Data Governance

March 2026

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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 Hub

Ranking in Data Governance

33rd

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Metadata Management (15th)

SAS Viya Platform

Ranking in Data Governance

28th

Average Rating

8.0

Reviews Sentiment

5.3

Number of Reviews

Ranking in other categories

Data Integration (46th), Data Quality (21st), Data Management Platforms (DMP) (8th)

Featured Reviews

Vijaya Macherla

GTM Lead at Capgemini

The solution is seamless, but the database sometimes leads to confusion

We used to have multiple different kinds of databases, which internally, had different compliance levels. Retention management is very different now. If the policy is live and the claim has been completed, I couldn't archive the claim. I needed to keep a reference integrity of that claim and understand which policy paid out the claim. With this solution, the policy came in six months ago and qualified for archiving. The claim had been paid and in every environment, the claim had been closed, including the reporting system, the claims system, etc. With the payment set gateway, I can just go and archive. But, we had a hard time during this process. I rate the overall solution a seven out of ten.

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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

"Its connection to on-premise products is the most valuable. We mostly use the on-premise connection, which is seamless. This is what we prefer in this solution over other solutions. We are using it the most for the orchestration where the data is coming from different categories. Its other features are very much similar to what they are giving us in open source. Their push-down approach is the most advantageous, where they push most of the processing on to the same data source. This means that they have a serverless kind of thing, and they don't process the data inside a product such as Data Hub. They process the data from where the data is coming out. If it is coming from HANA, to capture the data or process it for analytics, orchestration, or management, they go to the HANA database and give it out. They don't process it on Data Hub. This push-down approach increases the processing speed a little bit because the data is processed where it is sitting. That's the best part and an advantage. I have used another product where they used to capture the data first and then they used to process it and give it. In Data Hub, it is in reverse. They process it first and give it, and then they put their own manipulations. They lead in terms of business functions. No other solution has business functions already implemented to perform business analysis. They have a lot of prebuilt business functions for machine learning and orchestration, which we can use directly to get an analysis out from the existing data. Most of the data is sitting as enterprise data there. That's a major advantage that they have."

"They lead in terms of business functions, and no other solution has business functions already implemented to perform business analysis, with a lot of prebuilt business functions for machine learning and orchestration that we can use directly to get an analysis out from the existing enterprise data."

"Having this solution enables us to approach our clients to upgrade their databases, and we upgrade them according to their business requirements."

"The most valuable feature is the S/4HANA 1909 On-Premise"

"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."

"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."

Cons

"The company has everything offshore."

"Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this."

"In 2018, connecting it to outside sources, such as IoT products or IoT-enabled big data Hadoop, was a little complex. It was not smooth at the beginning. It was unstable. It took a lot of time for the initial data load. Sometimes, the connection broke, and we had to restart the process, which was a major issue, but they might have improved it now. It is very smooth with SAP HANA on-premise system, SAP Cloud Platform, and SAP Analytics Cloud. It could be because these are their own products, and they know how to integrate them. With Hadoop, they might have used open-source technologies, and that's why it was breaking at that time. They are providing less embedded integration because they want us to use their other products. For example, they don't want to go and remove SAP Analytics Cloud and put everything in Data Hub. They want us to use SAP Analytics Cloud somewhere else and not inside the Data Hub. On the integration part, it lacks real-time analytics, and it is slow. They should embed the SAP Analytics Cloud inside Data Hub or support some kind of analysis. They do provide some analysis, but it is not extensive. They are moreover open source. So, we need a lot of developers or data scientists to go in and implement Python algorithms. It would be better if they can provide their own existing algorithms and give some connections and drop-down menus to go and just configure those. It will make things really quick by increasing the embedded integrations. It will also improve the process efficiency and processing power. Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this. In terms of technology and performance, it is a little slow as compared to Microsoft and other data orchestration products. I haven't used other products, but I have read about those products, their settings, and the milliseconds that they do. In Azure Purview, they say that they can copy, manage, or transform the data within milliseconds. They say that they can transform 100 gigabytes of data within three to five seconds, which is something SAP cannot do. It generally takes a lot of time to process that much amount of data. However, I have never tested out Azure."

"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."

"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."

Pricing and Cost Advice

"The Cloud is very expensive, but SAP HANA previous service is okay."

Information not available

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Top Industries

By visitors reading reviews

Manufacturing Company

18%

Financial Services Firm

13%

Government

Computer Software Company

Construction Company

39%

Healthcare Company

11%

Transportation Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

Ask a question

Earn 20 points

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

My experience with pricing, setup cost, and licensing for SAS Viya Platform was smooth. I did not have any hiccups, and I do not have a say on the pricing.

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What needs improvement with SAS Viya Platform?

I cannot think of any improvements for SAS Viya Platform from the top of my head, although users might have suggestions. I would add that some users need more training in SAS and SAS Viya Platform....

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What is your primary use case for SAS Viya Platform?

My main use case for SAS Viya Platform is analytics on risk adjustment in the healthcare field. One of the specific examples of how I use SAS Viya Platform for risk adjustment analytics in healthca...

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Comparisons

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Compared 13% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Hub

Compared 13% of the time

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Compared 10% of the time

Palantir Foundry vs SAP Data Hub

Compared 9% of the time

Oracle Data Integrator (ODI) vs SAP Data Hub

Compared 6% of the time

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Compared 24% of the time

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Compared 16% of the time

n8n vs SAS Viya Platform

Compared 16% of the time

Palantir Foundry vs SAS Viya Platform

Compared 16% of the time

Microsoft Fabric vs SAS Viya Platform

Compared 12% of the time

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Product Reports

Buyer's Guide

Data Governance

March 2026

Download SAP Data Hub product report

Buyer's Guide

Data Management Platforms (DMP)

March 2026

Download SAS Viya Platform product report

Overview

The SAP® Data Hub solution enables sophisticated data operations management. It gives you the capability and flexibility to connect enterprise data and Big Data and gain a deep understanding of data and information processes across sources and systems throughout the distributed landscape. The unified solution provides visibility and control into data opportunities, integrating cloud and on-premise information and driving data agility and business value. Distributed processing power enables greater speed and efficiency.

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

Kaeser Kompressoren, HARTMANN

Information Not Available

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