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."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 logic is also simple. It makes it easy to build your extraction."
"The user interface is ok."
"We can extract data at a table level, extract data at the ETL level, and we can extract data at an ODP level."
"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 basic functionality is quite good as is the basic logic and data information."
"The most valuable feature is the logging capability."
"I appreciate having access to the SAP data."
"The most valuable feature is the ETL functionality."
"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."
"At the integration level, there could be certain set of improvement to connect to various other systems."
"It would be nice if this solution was a bit easier to move from development to production."
"The pricing of the solution should be improved."
"The migration of the solution between different environments is quite complex."
"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."
"The solution should offer more machine learning and automation."
"With SAP Data Services, the problem arises when I try to connect to Azure Databricks."
"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."
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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