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."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 most valuable feature is the ETL functionality."
"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 reporting on the data, even from third-party software, is very good."
"The product's most valuable features are data validation and rules."
"The basic functionality is quite good as is the basic logic and data information."
"The API tool in this product is very valuable; it is very easy to onboard and use."
"The fact that it's built on SQL, it makes it easy to write code. The database and the connection are quite smooth."
"The user interface is ok."
"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."
"There needs to be multi-language support, however, my understanding is they are working on multi-language now."
"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."
"We encounter challenges while exporting implemented rules, such as those applied to objects like the material master, into a format like Excel for documentation and further analysis."
"Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome."
"Data Services SAP is lacking in sources and target databases compared to Informatica. SAP Data Services should have more connectivity."
"It's an ETL that is very good with relational databases but not as good with files and semi-structured files."
"We would like the different tools offered within this solution to be available as standalone entities, rather than having to purchase the entire package when we only require a few features."
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 Address Verification, Informatica Data Quality and Syniti Data Quality, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration and SAP Data Hub.
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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.