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SAP Data Quality Management vs SAP Data Services comparison

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Featured Review
Buyer's Guide
Data Quality
July 2022
Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: July 2022.
621,548 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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."

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"We can extract data at a table level, extract data at the ETL level, and we can extract data at an ODP level.""The basic functionality is quite good as is the basic logic and data information.""The most valuable feature is the ETL functionality.""The BA reporting tools, such as Data Services, and ETL tool in SAP Data Services are the most valuable. When we had in-memory requirements, we used HANA. HANA is most preferably for most the customers for in-memory. SAP is the first company that created the in-memory concept.""Its integration capabilities and the data migration capabilities are the most valuable. It is very good for SAP and non-SAP tools. It has very good integration with SAP, but it also has the capabilities to connect to other systems. We find it very helpful and stable.""Data Services' table comparison mechanism is very powerful. It's pretty hard to find a similar feature in other solutions.""You can always manipulate a lot of things as long as you have the skill level.""I appreciate having access to the SAP data."

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Cons
"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."

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"I want some more business intelligence applications. People need to know more and more about data, including the transformation rules, etc. Informatica is a better product for data cataloging. SAP should update the data catalog.""The migration of the solution between different environments is quite complex.""They could make it easier to work with web services.""Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome.""The skillset of data engineers matters a bit to use all the functionality of this solution. Otherwise, the delivery speed won't be faster.""It's an ETL that is very good with relational databases but not as good with files and semi-structured files.""It would be nice if this solution was a bit easier to move from development to production.""At the integration level, there could be certain set of improvement to connect to various other systems."

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Pricing and Cost Advice
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  • "Its pricing is as per the enterprise agreement and not a concern for us."
  • "The price is very reasonable."
  • "There is a one time purchase fee plus annual maintenance."
  • "The price of SAP Data Services is a little high when compared to other solutions. Due to the pricing and capabilities, many clients are switching to other solutions."
  • More SAP Data Services Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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.
    Top Answer: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… more »
    Top Answer: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.
    Top Answer:The most valuable feature is the ETL functionality.
    Top Answer:Dealing with the REST API is not easy with Data Services. It is mandatory to have a WADL file and it is difficult to find this file and set it up. I would like to see a better connection with the API… more »
    Ranking
    10th
    out of 42 in Data Quality
    Views
    1,253
    Comparisons
    1,094
    Reviews
    1
    Average Words per Review
    226
    Rating
    8.0
    1st
    out of 42 in Data Quality
    Views
    13,534
    Comparisons
    11,031
    Reviews
    9
    Average Words per Review
    541
    Rating
    8.0
    Comparisons
    Also Known As
    SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management
    SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator
    Learn More
    Overview
    SAP BusinessObjects Data Quality Management, version for SAP solutions (DQM for SAP), enables you to embed support for data quality directly into SAP ERP,CRM and MDG applications. Start by entering a new customer, supplier, or partner record using the SAP ERP, SAP CRM , SAP MDG applications. Then this version of SAP BusinessObjects Data Quality Management software corrects components of the address, validates the address based on referential data sources, and formats the address according to the norms of the applicable country. This solution helps in avoiding the duplicate entities entering into your SAP ERP, CRM and MDG applications(supports different MDG data models for address validation and duplicate checks) and also helps in searching and improving your existing data.

    You cannot afford to run your business on questionable data. With SAP® Data Services software, you can access, transform, and connect data to fuel your critical business processes. Together, these enterprise-class solutions enable data integration and data quality, providing the right level of insight across your business so you can make better decisions and operate more effectively.

    Offer
    Learn more about SAP Data Quality Management
    Learn more about SAP Data Services
    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
    EMC Corporation, LivePerson, Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Migros Group
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company33%
    Comms Service Provider9%
    Manufacturing Company8%
    Energy/Utilities Company8%
    REVIEWERS
    Manufacturing Company21%
    Religious Institution7%
    Comms Service Provider7%
    University7%
    VISITORS READING REVIEWS
    Computer Software Company29%
    Comms Service Provider14%
    Energy/Utilities Company8%
    Manufacturing Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise13%
    Large Enterprise72%
    REVIEWERS
    Small Business20%
    Midsize Enterprise9%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise13%
    Large Enterprise72%
    Buyer's Guide
    Data Quality
    July 2022
    Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: July 2022.
    621,548 professionals have used our research since 2012.

    SAP Data Quality Management is ranked 10th in Data Quality with 1 review while SAP Data Services is ranked 1st in Data Quality with 9 reviews. SAP Data Quality Management is rated 8.0, while SAP Data Services is rated 8.0. The top reviewer of SAP Data Quality Management writes "Has good scalability, it is easy to add new products". On the other hand, the top reviewer of SAP Data Services writes "It's a powerful tool that does a lot, but it has its annoyances". SAP Data Quality Management is most compared with SAP Information Steward, Informatica Address Verification, Precisely Trillium, Oracle Data Quality and Informatica Data Quality, whereas SAP Data Services is most compared with Azure Data Factory, SSIS, Informatica PowerCenter, SAP Process Orchestration and AWS Glue.

    See our list of best Data Quality vendors.

    We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.