We performed a comparison between SAP Data Services and Syniti Data Quality 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."The maintenance of data services is the solution's most valuable feature."
"The basic functionality is quite good as is the basic logic and data information."
"I appreciate having access to the SAP data."
"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 fact that it's built on SQL, it makes it easy to write code. The database and the connection are quite smooth."
"The solution is easy to use since it's a graphical tool. It also requires only low-level coding."
"Technical support from SAP is awesome. If we have an issue, they give a good solution."
"The logic is also simple. It makes it easy to build your extraction."
"The customer service and support is good."
"With Syniti Data Quality, you can integrate SAP and directly fix errors from Syniti Data Quality instead of logging into SAP and then fixing them."
"Syniti has built-in 80% of the solution, and we only need to customize 20 to 25% of the features. It is easy to run and pre-load reports."
"The major benefits of Syniti Data Quality stem from the productivity and flexibility it offers to users."
"I want some more business intelligence applications. People need to know more and more about data, including the transformation rules, etc. Informatica is a better product for data cataloging. SAP should update the data catalog."
"Scheduling of jobs in the sequence is not available. It's a very tedious process to do that particular task. If there was a tool to schedule in the sequence that would be extremely helpful."
"The solution could improve the overall features. There is a lot that can be done in the solution, therefor there are areas where it can improve. Additionally, there is a need to make it easier for one to create connections to other non-SAP systems. The flexibility to connect to other non-SAP systems is needed."
"An area for improvement in SAP Data Services could involve making the product more accessible to non-technical end-users."
"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."
"Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome."
"The migration of the solution between different environments is quite complex."
"The initial setup is complex."
"It would be good if Syniti Data Quality could integrate more AI in the future."
"The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement."
"The customization of the data needs improvement. We need to build basic SQL queries rather than being able to do it within the tool. We need to be able to analyze the SQL queries and then rerun them based on customer usage."
"In Syniti Data Quality, data extraction is an area with certain shortcomings where improvements are required."
SAP Data Services is ranked 2nd in Data Quality with 45 reviews while Syniti Data Quality is ranked 6th in Data Quality with 4 reviews. SAP Data Services is rated 8.0, while Syniti Data Quality is rated 8.6. The top reviewer of SAP Data Services writes "Responsive support, scalable, and beneficial integration". On the other hand, the top reviewer of Syniti Data Quality writes "A highly stable solution that can be deployed very quickly and easily". SAP Data Services is most compared with Azure Data Factory, Informatica PowerCenter, SAP Process Orchestration, Palantir Foundry and SSIS, whereas Syniti Data Quality is most compared with . See our SAP Data Services vs. Syniti Data Quality report.
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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.