We performed a comparison between SAP Data Quality Management and SAP Data Services 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."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."
"The solution is easy to use since it's a graphical tool. It also requires only low-level coding."
"I have worked with Data Services for a long time, and currently, I find the dashboarding and reporting part to be the most valuable function."
"The most valuable feature is the ETL functionality."
"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 fact that it's built on SQL, it makes it easy to write code. The database and the connection are quite smooth."
"The reporting on the data, even from third-party software, is very good."
"The most valuable feature of SAP Data Services is the integration with data sources."
"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."
"Some of the jobs that are built within Data Services require local files, and during initial deployment, those local files cannot be transported between machines simply because of security issues."
"The migration of the solution between different environments is quite complex."
"The pricing of the solution should be improved."
"They could make it easier to work with web services."
"There should be some kind of enhancement that can be done on the admin side of certain sites where we can assign the roles and responsibilities. We should be able to control who is using the tool and how."
"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."
"An area for improvement in SAP Data Services could involve making the product more accessible to non-technical end-users."
"In the future, Data Services should offer a cloud version."
SAP Data Quality Management is ranked 5th in Data Quality with 2 reviews while SAP Data Services is ranked 2nd in Data Quality with 45 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 "Responsive support, scalable, and beneficial integration". SAP Data Quality Management is most compared with SAP Information Steward, Melissa Data Quality, Informatica Data Quality and Informatica Address Verification, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration and SAP Data Hub. See our SAP Data Quality Management vs. SAP Data Services report.
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