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 most valuable features of SAP Data Services lie in its ability to effectively observe and interpret the information within data related to people or facts, stands out."
"The API tool in this product is very valuable; it is very easy to onboard and use."
"We can extract data at a table level, extract data at the ETL level, and we can extract data at an ODP level."
"Its integration capabilities and the data migration capabilities are the most valuable. It is very good for SAP and non-SAP tools. It has very good integration with SAP, but it also has the capabilities to connect to other systems. We find it very helpful and stable."
"The basic functionality is quite good as is the basic logic and data information."
"The most valuable feature of SAP Data Services is the integration with data sources."
"The logic is also simple. It makes it easy to build your extraction."
"Technical support from SAP is awesome. If we have an issue, they give a good solution."
"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."
"The execution engines and processing engines have shortcomings and need improvements."
"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."
"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."
"Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome."
"The skillset of data engineers matters a bit to use all the functionality of this solution. Otherwise, the delivery speed won't be faster."
"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."
"There needs to be multi-language support, however, my understanding is they are working on multi-language now."
"Integration with other products could be improved."
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. See our SAP Data Quality Management vs. SAP Data Services report.
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