We performed a comparison between Informatica Cloud 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 features are much better than the on-premise version."
"The most valuable feature is the rule specification."
"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality."
"The user-friendliness and performance of Informatica is quite impressive."
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"Initial setup was fairly easy."
"Stability-wise, I rate the solution a ten out of ten."
"We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog."
"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."
"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."
"The integration with older technology and cloud quality needs improvement."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"Some capabilities from the cloud version are not included in the on-premises version."
"In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition."
"The high price of the product is an area of concern where improvements are required."
"Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM."
"Logical views are a little bit behind in comparison to the on-premise version."
"I used to use this tool more but recently we have been using another tool that we feel is better because it handles spatial data. Informatica Cloud Data Quality could improve by adding the ability to handle spatial data."
"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."
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Informatica Cloud Data Quality is ranked 3rd in Data Quality with 8 reviews while SAP Data Quality Management is ranked 5th in Data Quality with 2 reviews. Informatica Cloud Data Quality is rated 8.2, while SAP Data Quality Management is rated 8.6. The top reviewer of Informatica Cloud Data Quality writes "Is user friendly and can handle large volumes of data without compromising performance". On the other hand, the top reviewer of SAP Data Quality Management writes "Scalable, stable, and offers good technical support". Informatica Cloud Data Quality is most compared with Informatica Data Quality and Talend Data Quality, whereas SAP Data Quality Management is most compared with SAP Data Services, SAP Information Steward, Melissa Data Quality, Informatica Address Verification and Informatica Data Quality. See our Informatica Cloud Data Quality vs. SAP Data Quality Management report.
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