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 SAP, Informatica, SAS and others in Data Quality.
To learn more, read our detailed Data Quality Report (Updated: November 2022).
656,474 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.""The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation.""Seeing the data in the mapping itself is really nice.""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.""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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"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
"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.""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.""The tool's performance is an area that should be given further consideration.""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.""Managing the licenses with the on-premises version was difficult.""Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."

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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."

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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 42 in Data Quality
Views
3,138
Comparisons
2,019
Reviews
7
Average Words per Review
541
Rating
7.3
12th
out of 42 in Data Quality
Views
1,357
Comparisons
1,174
Reviews
0
Average Words per Review
0
Rating
N/A
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
REVIEWERS
Computer Software Company33%
Comms Service Provider11%
Financial Services Firm11%
Insurance Company11%
VISITORS READING REVIEWS
Computer Software Company23%
Financial Services Firm15%
Energy/Utilities Company7%
Insurance Company6%
VISITORS READING REVIEWS
Computer Software Company21%
Manufacturing Company12%
Energy/Utilities Company9%
Financial Services Firm7%
Company Size
REVIEWERS
Small Business15%
Midsize Enterprise8%
Large Enterprise77%
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise9%
Large Enterprise74%
VISITORS READING REVIEWS
Small Business19%
Midsize Enterprise15%
Large Enterprise67%
Buyer's Guide
Data Quality
November 2022
Find out what your peers are saying about SAP, Informatica, SAS and others in Data Quality. Updated: November 2022.
656,474 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 12th in Data Quality with 1 review. Informatica Data Quality is rated 7.2, while SAP Data Quality Management is rated 9.0. The top reviewer of Informatica Data Quality writes "One of the leading ETLs with good in-built functionalities and helpful support". 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, IBM Infosphere Information Analyzer and SAP Information Steward, whereas SAP Data Quality Management is most compared with SAP Data Services, SAP Information Steward, Informatica Address Verification, Precisely Trillium and Melissa Data Quality.

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.