We performed a comparison between Informatica Data Quality and SAP Data Quality Management based on real PeerSpot user reviews.
Find out in this report how the two Data Quality solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"I give the stability a ten out of ten."
"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"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."
"I like the connectivity and richness of features for the technical team, the maturity of the product, and that it had a cloud version. There is Informatica Cloud, and it is part of the Informatica Cloud platform."
"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."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"The customer servive and support could be faster. There is a slow turnaround."
"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"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."
"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."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"There is room for improvement in the Data Marketplace aspect."
"Managing the licenses with the on-premises version was difficult."
"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."
"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."
Informatica Data Quality is ranked 1st in Data Quality with 18 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 "Offers cloud version, good connectivity and data profiling features ". 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 Quality, Oracle Data Quality and SAP Information Steward, whereas SAP Data Quality Management is most compared with SAP Data Services, SAP Information Steward, Melissa Data Quality and Informatica Address Verification. See our Informatica Data Quality vs. SAP Data Quality Management report.
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