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.
"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."
"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."
"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."
"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."
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.
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.
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