Compare Informatica Data Quality vs. SAP Data Quality Management

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Most Helpful Review
Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: July 2021.
521,690 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
"I am impressed by the solution's interface.""We are able to set rules, establish a data quality management platform, and monitor the quality.""The solution is applicable for both technical and business users.""Seeing the data in the mapping itself is really nice.""It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy.""The user interface is flexible and the visibility of the data flow is amazing."

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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."

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Cons
"Informatica is very expensive.""I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are.""The ability of the product to leverage the power of big data could be improved.""Although we are very satisfied with the design of the UI, executing tasks with it can be difficult.""It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it.""The tool's performance is an area that should be given further consideration."

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"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
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Questions from the Community
Top Answer: The user interface is flexible and the visibility of the data flow is amazing.
Top Answer: I believe licensing is around $700,000 annually and we pay around $300,000 for support. The licensing is tricky because sometimes we need to pay for additional connectors and those are hidden costs… more »
Top Answer: The tool's performance is an area that should be given further consideration.
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.
Ranking
3rd
out of 41 in Data Quality
Views
2,515
Comparisons
1,580
Reviews
7
Average Words per Review
464
Rating
7.7
10th
out of 41 in Data Quality
Views
956
Comparisons
848
Reviews
1
Average Words per Review
226
Rating
8.0
Popular Comparisons
Also Known As
SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management
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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.
Offer
Learn more about Informatica Data Quality
Learn more about SAP Data Quality Management
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
VISITORS READING REVIEWS
Computer Software Company33%
Comms Service Provider12%
Financial Services Firm10%
Energy/Utilities Company9%
VISITORS READING REVIEWS
Computer Software Company39%
Comms Service Provider14%
Energy/Utilities Company7%
Manufacturing Company7%
Company Size
REVIEWERS
Small Business22%
Midsize Enterprise11%
Large Enterprise67%
No Data Available
Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: July 2021.
521,690 professionals have used our research since 2012.

Informatica Data Quality is ranked 3rd in Data Quality with 7 reviews while SAP Data Quality Management is ranked 10th in Data Quality with 1 review. Informatica Data Quality is rated 7.8, while SAP Data Quality Management is rated 8.0. The top reviewer of Informatica Data Quality writes "Works well and has a good interface ". On the other hand, the top reviewer of SAP Data Quality Management writes "Has good scalability, it is easy to add new products". Informatica Data Quality is most compared with Informatica Cloud Data Quality, SAP Information Steward, IBM Infosphere Information Analyzer and SAP Data Services, whereas SAP Data Quality Management is most compared with SAP Information Steward, SAP Data Services, Precisely Trillium, Experian Data Quality and Ataccama ONE Platform.

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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.