Informatica Data Quality vs SAP Data Quality Management comparison

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Executive Summary

We performed a comparison between Informatica Data Quality and SAP Data Quality Management based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality.
To learn more, read our detailed Data Quality Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution is stable.""I am impressed by the solution's interface.""The profiling feature in Informatica Data Quality is incredibly effective for data governance.""I give the stability a ten out of ten.""There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data.""The user interface is flexible and the visibility of the data flow is amazing.""Seeing the data in the mapping itself is really nice.""I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."

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"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."

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Cons
"The ability of the product to leverage the power of big data could be improved.""One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises.""There is room for improvement in the Data Marketplace aspect.""Their UI needs improvement. Their scorecards and reporting also need improvement. Their data quality reporting, especially their dashboards and scorecards, is lackluster at best. Its reporting capabilities are limited. If you want to do anything beyond its limited reporting capabilities, then you're going to have to use an external reporting tool such as Power BI or something like that.""The tool's performance is an area that should be given further consideration.""Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria.""I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are.""The tools required to migrate existing mappings and server rules through cloud data quality are not available."

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"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.""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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Pricing and Cost Advice
  • "Informatica is very expensive."
  • "I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
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    Questions from the Community
    Top Answer:The profiling feature in Informatica Data Quality is incredibly effective for data governance.
    Top Answer:Informatica's licensing cost is among the highest in the market. I would rate it as a five out of ten in terms of costliness. With Informatica, we have a single bundled agreement covering the entire… more »
    Top Answer:There is room for improvement in the Data Marketplace aspect. Specifically, we found some basic functionalities lacking, like transparent integration of quality indicators. Customizability and… more »
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer:In the last three years, my company used SAP Data Quality Management for a manufacturing site, particularly for creating inspection lots, recording the results, and costing the inspection lots from… more »
    Ranking
    1st
    out of 44 in Data Quality
    Views
    3,638
    Comparisons
    2,014
    Reviews
    8
    Average Words per Review
    593
    Rating
    7.8
    5th
    out of 44 in Data Quality
    Views
    1,138
    Comparisons
    964
    Reviews
    1
    Average Words per Review
    813
    Rating
    9.0
    Comparisons
    Also Known As
    SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management
    Learn More
    Overview

    Deliver high-quality clean and trusted data with an enterprise class data quality and governance solution that scales, regardless of size or format or data, platform, or technology.

    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.
    Sample Customers
    Condé Nast, Tani, U.S. Xpress Enterprise
    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
    Top Industries
    REVIEWERS
    Computer Software Company31%
    Financial Services Firm23%
    Comms Service Provider15%
    Insurance Company8%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company12%
    Manufacturing Company11%
    Government6%
    VISITORS READING REVIEWS
    Manufacturing Company16%
    Financial Services Firm13%
    Energy/Utilities Company11%
    Computer Software Company10%
    Company Size
    REVIEWERS
    Small Business17%
    Midsize Enterprise6%
    Large Enterprise78%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise72%
    Buyer's Guide
    Data Quality
    March 2024
    Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Informatica Data Quality is ranked 1st in Data Quality with 17 reviews while SAP Data Quality Management is ranked 5th in Data Quality with 2 reviews. Informatica Data Quality is rated 7.8, while SAP Data Quality Management is rated 8.6. The top reviewer of Informatica Data Quality writes "Quick on profiling and scales very well, but needs better UI and more reporting capabilities". On the other hand, the top reviewer of SAP Data Quality Management writes "Scalable, stable, and offers good technical support". Informatica Data Quality is most compared with Informatica Cloud Data Quality, Talend Data Quality, Trillium TS Quality, Oracle Data Quality and Ataccama ONE Platform, whereas SAP Data Quality Management is most compared with SAP Information Steward, SAP Data Services, Melissa Data Quality and Informatica Address Verification.

    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.