SAP Master Data Governance vs. SAS Data Management

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAP Master Data Governance
Score 7.9 out of 10
N/A
SAP Master Data Governance is a master data management solution that helps users to implement a cohesive and harmonized master data management strategy across all master data domains. It is presented as a solution that simplifies enterprise data management, increases data accuracy, and that facilitates consolidation, central governance and data quality management. The SAP Master Data Governance, cloud edition, a…N/A
SAS Data Management
Score 8.0 out of 10
N/A
A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.N/A
Pricing
SAP Master Data GovernanceSAS Data Management
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
SAP Master Data GovernanceSAS Data Management
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
SAP Master Data GovernanceSAS Data Management
Top Pros
Top Cons
Features
SAP Master Data GovernanceSAS Data Management
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
SAP Master Data Governance
-
Ratings
SAS Data Management
8.3
10 Ratings
1% above category average
Connect to traditional data sources00 Ratings8.610 Ratings
Connecto to Big Data and NoSQL00 Ratings8.19 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
SAP Master Data Governance
-
Ratings
SAS Data Management
6.7
8 Ratings
22% below category average
Simple transformations00 Ratings6.18 Ratings
Complex transformations00 Ratings7.48 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
SAP Master Data Governance
-
Ratings
SAS Data Management
6.7
8 Ratings
19% below category average
Data model creation00 Ratings5.56 Ratings
Metadata management00 Ratings7.47 Ratings
Business rules and workflow00 Ratings6.67 Ratings
Collaboration00 Ratings7.07 Ratings
Testing and debugging00 Ratings6.17 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
SAP Master Data Governance
-
Ratings
SAS Data Management
7.9
9 Ratings
4% below category average
Integration with data quality tools00 Ratings7.69 Ratings
Integration with MDM tools00 Ratings8.27 Ratings
Best Alternatives
SAP Master Data GovernanceSAS Data Management
Small Businesses

No answers on this topic

Skyvia
Skyvia
Score 9.6 out of 10
Medium-sized Companies
Informatica Customer 360 for Salesforce
Informatica Customer 360 for Salesforce
Score 7.8 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Enterprises
Winshuttle
Winshuttle
Score 7.8 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
SAP Master Data GovernanceSAS Data Management
Likelihood to Recommend
7.8
(73 ratings)
7.6
(11 ratings)
Likelihood to Renew
7.8
(3 ratings)
9.0
(2 ratings)
Usability
7.6
(70 ratings)
6.0
(2 ratings)
Performance
-
(0 ratings)
9.0
(1 ratings)
Support Rating
7.1
(66 ratings)
7.7
(6 ratings)
Implementation Rating
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
SAP Master Data GovernanceSAS Data Management
Likelihood to Recommend
SAP
Best Suitable: 1. Good for us as we're bigger organization. 2. Places were high quality data & Compliance mandates. 3. Complex data management projects 4. To have better workflow in a place Less suitable: 1. For small to medium size organization. 2. For short duration projects/ requirements. 3. Non-SAP environments or limited ITIS team members 4. Also, to handle simple data structure
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SAS
When data is in a system that needs a complex transformation to be usable for an average user. Such tasks as data residing in systems that have very different connection speeds. It can be integrated and used together after passing through the SAS Data Integration Studio removing timing issues from the users' worries. A part that is perhaps less appropriate is getting users who are not familiar with the source data to set up the load processes.
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Pros
SAP
  • I like being able to create our own tables that aren't specified by the application; arranging data utilizing data spaces is a dream come true.
  • Using semantic data space instances with workflows improves performance significantly; firms with several domains may use the same application with numerous data spaces for master data management.
  • SAP (MDG) remains unique in the flexibility to model and manage master data the way it is used in the company, with all capabilities easily available through an intuitive user interface, and is not bound by the vendor's mandated data models.
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SAS
  • SAS/Access is great for manipulating large and complex databases.
  • SAS/Access makes it easy to format reports and graphics from your data.
  • Data Management and data storage using the Hadoop environment in SAS/Access allows for rapid analysis and simple programming language for all your data needs.
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Cons
SAP
  • As with all powerful and complex information platforms, SAP MDG does have a learning curve to it, especially if you plan on doing advanced things such as implementing MDM automation.
  • SAP MDG is capable of replicating data across many platforms (including non-SAP) however, this too, has a learning curve to it and will require some work. Bottom line...it doesn't just happen out of the box!
  • SAP MDG's flexibility can also be a weakness as sometimes you just want to implement a standard governance flow without defining everything from scratch. We have found that usually, you will need to define each workflow yourself in order for it to work properly.
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SAS
  • Requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres.
  • Debugging errors from the logs is a complicated process.
  • E-mail alert system is very primitive and needs customization to make it more modern,
  • Cannot send SMS alerts for jobs.
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Likelihood to Renew
SAP
MDG has proven to work and to bring results once implemented with the right approach, right engagement and sponsorship. Given that it is a very good tool to govern and control master data. Mainly if your company runs SAP systems which there will be a very straight forward integration, not needing any additional middleware or technologies.
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SAS
We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.
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Usability
SAP
SAP Master Data Governance(MDG) provides ease of use for the end users i.e. master data experts. It provides a good UI that is not SAP GUI. SAP provides support for any standard issues that we face. Their new set of Fiori tools helps us get more bang for our buck.
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SAS
The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.
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Performance
SAP
No answers on this topic
SAS
It worked as expected.
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Support Rating
SAP
I haven't been using the support services individually. Instead, there are responsible units within the institution who train and support the users of the software in the institution. The service provided by these units are quite adequate and they probably get the service from SAP itself. That's why, I can assume that the support services are quite successful.
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SAS
With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.
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Implementation Rating
SAP
critical to get management on board earlier and prioritize the resources
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SAS
No answers on this topic
Alternatives Considered
SAP
An environment provided by SAP Master Data Governance seamless and integration with other SAP products is very good. Also it ensures compatibility and streamlines procedures, this integration is beneficial for businesses who have already invested in SAP products.
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SAS
Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
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Return on Investment
SAP
  • In this digital era , internet generating huge data ( master data and transactional data with pics and videos) if not managed with MDG product, ERP would become Junk data which results in expensive affair to" maintain, archive and manage disaster recovery "
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SAS
  • We have more users who can connect to the many different data sources.
  • Our users do have existing SAS programming knowledge and that can carry over.
  • Business functions are starting to rely on SAS Data Integration Studio work product shortly after introduction.
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ScreenShots

SAP Master Data Governance Screenshots

Screenshot of Data consolidation:  An integrated database of customer, supplier, and product information calls for a consumer-grade user experience and an intuitive, flexible process.Screenshot of Central data governance: The inbox in support of data governance workflows.  By centralizing your heterogeneous systems into a single source, you can create, maintain, and distribute master data across your enterprise.Screenshot of Mass processing: Master data stewards can perform bulk changes in business partner, customer, supplier, and product data with highly-effective mass change processes.Screenshot of Data quality management: Business rules that are defined, validated, and monitored help safeguard master data
readiness and ensure that it’s fit for use.Screenshot of Process analytics: Data governance is significantly enhanced when master data is continuously measured and monitored.