We performed a comparison between SAP Data Quality Management and SAP Data Services based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality."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 API tool in this product is very valuable; it is very easy to onboard and use."
"It's easy to understand and deploy. It's easy to create new applications, and depending on the complexity of the application, it is easy to deploy the new requirements."
"The logic is also simple. It makes it easy to build your extraction."
"The solution is easy to use since it's a graphical tool. It also requires only low-level coding."
"The most valuable feature of SAP Data Services is the integration with data sources."
"Data Services' best features are its robustness and plug-and-play integration with other SAP applications."
"The feature of SAP Data Services has enhanced our company's business processes because we are able to run around 800 jobs in areas like data extraction and transaction objects."
"The initial setup is not complex."
"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."
"Integration with other products could be improved."
"An area for improvement in SAP Data Services could involve making the product more accessible to non-technical end-users."
"It would be nice if this solution was a bit easier to move from development to production."
"The execution engines and processing engines have shortcomings and need improvements."
"In the future, Data Services should offer a cloud version."
"The interface is not quite user-friendly and is in need of improvement."
"The description of error messages isn't extensive, although they point to the problem. With other solutions, like Talend, I was able to use the debugger to get directly to the problem, but with SAP Data Services the debugger is not working. I'm not sure if it's a problem with the version specifically, but I'm using it in an enterprise environment and I can't do an upgrade."
"The solution shows a lack of cloud support data services."
SAP Data Quality Management is ranked 5th in Data Quality with 1 review while SAP Data Services is ranked 2nd in Data Quality with 15 reviews. SAP Data Quality Management is rated 8.6, while SAP Data Services is rated 8.0. The top reviewer of SAP Data Quality Management writes "Scalable, stable, and offers good technical support". On the other hand, the top reviewer of SAP Data Services writes "Easy to use, simple to implement, and offers very good mapping capabilities". SAP Data Quality Management is most compared with SAP Information Steward, Melissa Data Quality, Informatica Address Verification, Syniti Data Quality and Experian Data Quality, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SSIS and Talend Data Management Platform.
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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.