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."The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"The solution is applicable for both technical and business users."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"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 profiling feature in Informatica Data Quality is incredibly effective for data governance."
"I give the stability a ten out of ten."
"Informatica Data Quality is a product that is worth the money."
"I am impressed by the solution's interface."
"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."
"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."
"The tool's performance is an area that should be given further consideration."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"Informatica is very expensive."
"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 ability of the product to leverage the power of big data could be improved."
"There is room for improvement in the Data Marketplace aspect."
"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"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."
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, Informatica Address Verification and Syniti Data Quality.
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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.