SAP Data Quality Management vs. SAS Data Management

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAP Data Quality Management
Score 8.9 out of 10
N/A
SAP Business Objects Data Quality Management embeds data quality functionality into SAP applications.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 Data Quality ManagementSAS Data Management
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
SAP Data Quality ManagementSAS Data Management
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
SAP Data Quality ManagementSAS Data Management
Features
SAP Data Quality ManagementSAS Data Management
Data Quality
Comparison of Data Quality features of Product A and Product B
SAP Data Quality Management
9.9
Ratings
13% above category average
SAS Data Management
-
Ratings
Data source connectivity10.00 Ratings00 Ratings
Data profiling9.60 Ratings00 Ratings
Master data management (MDM) integration9.90 Ratings00 Ratings
Data element standardization9.90 Ratings00 Ratings
Match and merge9.90 Ratings00 Ratings
Address verification10.00 Ratings00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
SAP Data Quality Management
-
Ratings
SAS Data Management
8.3
Ratings
1% below category average
Connect to traditional data sources00 Ratings8.60 Ratings
Connecto to Big Data and NoSQL00 Ratings8.10 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
SAP Data Quality Management
-
Ratings
SAS Data Management
6.7
Ratings
20% below category average
Simple transformations00 Ratings6.10 Ratings
Complex transformations00 Ratings7.40 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
SAP Data Quality Management
-
Ratings
SAS Data Management
6.7
Ratings
17% below category average
Data model creation00 Ratings5.50 Ratings
Metadata management00 Ratings7.40 Ratings
Business rules and workflow00 Ratings6.60 Ratings
Collaboration00 Ratings7.00 Ratings
Testing and debugging00 Ratings6.10 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
SAP Data Quality Management
-
Ratings
SAS Data Management
7.9
Ratings
3% below category average
Integration with data quality tools00 Ratings7.60 Ratings
Integration with MDM tools00 Ratings8.20 Ratings
User Ratings
SAP Data Quality ManagementSAS Data Management
Likelihood to Recommend
9.3
(0 ratings)
7.6
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(0 ratings)
Usability
-
(0 ratings)
6.0
(0 ratings)
Performance
-
(0 ratings)
9.0
(0 ratings)
Support Rating
8.2
(0 ratings)
7.7
(0 ratings)
Product Scalability
10.0
(0 ratings)
-
(0 ratings)
User Testimonials
SAP Data Quality ManagementSAS Data Management
Likelihood to Recommend
When reporting, we use accurate data with no duplications since they are addressed by SAP DQM, we get the right target audience by analyzing marketing data, and also helps us to understand the current situation of our firm by comparing metrics.
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SAS/Access is well suited for companies who need to manipulate and analyze large databases and data-sets. It does the same thing as SQL, and if you already know basic SAS coding it is easier to pick up. SAS/Access works well with analyzing data from multiple data-sources at once, including large databases stored in external and virtual environments like Hadoop. Data can be easily reassembled from relational databases for use by the user. SAS/Access is not necessary if you are only pulling data from one database that you have the physical file for.
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Pros
  • SAP Data Quality integrates with numerous data sources, all with quality control metrics for effective analysis.
  • SAP Data Quality deals with modernization and addressing validation procedures.
  • Permanently eliminates the available data redundancy and duplicates.
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  • SAS supports the main database connection options that allow you to optimize the performance of your extracts and loads.
  • Simplicity of the syntax for a basic connection.
  • Ability to configure by an administrator in a BI environment so that all users can benefit from the connection without having to establish it by themselves.
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Cons
  • On data mining, some fundamental features are either not strong, or unsustainable.
  • Besides, the chatbot from SAP Data Quality sometimes fails to respond, a huge challenge.
  • Finally, SAP Data Quality lacks the performance monitor, which should be routine and concrete.
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  • It is a versatile product but sometimes difficult to use due to the very close link with the proprietary programming language where specific knowledge is required.
  • Compared to competitors on the market that offer the same functions for the integration perimeter, it is certainly very expensive.
  • It is very simple to use when combined with products from the SAS suite, less so it is being used stand-alone or integrated with other well-known brands.
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Likelihood to Renew
No answers on this topic
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
No answers on this topic
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
No answers on this topic
It worked as expected.
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Support Rating
As with other SAP products, there is excellent support from SAP on this new tool.
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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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Alternatives Considered
The client was on a SAP platform for most of their applications and also is planning to implement SAP Hana very soon. This tool was fitting good for the requirement of the client to manage the quality of the data and hence adapt it in the system. Also, it can go well with the BO reporting.
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Because SAS Data Integration Studio is the third party it seems to work equally well with all our systems. That is to say that it doesn't really work better with Microsoft or Oracle but really just seems to work equally well with all of them. It has a very powerful back-end that allows us to transform and load our data quickly and efficiently programmer time wise.
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Return on Investment
  • Data quality from SAP Data Quality Management brings accuracy and authenticity to the entire process.
  • Further, SAP Data Quality Management allows clear validation of the customer address, making it effective to manage every process and demand plan.
  • SAP Data Quality Management has the potential of improving the market penetration, powerful business proceedings.
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  • The platform enabled us to have a single repository of customers to run campaigns on.
  • Feedback from various campaigns is stored in a single database, which makes running A/B analysis easier.
  • Helped improve data quality due to SAS Dataflux being a part of the SAS Data Management Platform.
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ScreenShots