We performed a comparison between Informatica Data Quality 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."Seeing the data in the mapping itself is really nice."
"The solution is applicable for both technical and business users."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"I give the stability a ten out of ten."
"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"I am impressed by the solution's interface."
"It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"You can always manipulate a lot of things as long as you have the skill level."
"Technical support from SAP is awesome. If we have an issue, they give a good solution."
"The BA reporting tools, such as Data Services, and ETL tool in SAP Data Services are the most valuable. When we had in-memory requirements, we used HANA. HANA is most preferably for most the customers for in-memory. SAP is the first company that created the in-memory concept."
"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 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."
"I appreciate having access to the SAP data."
"The most valuable feature of SAP Data Services is the integration with data sources."
"It is a powerful product with a broad range of features."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"The ability of the product to leverage the power of big data could be improved."
"Managing the licenses with the on-premises version was difficult."
"Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"The customer servive and support could be faster. There is a slow turnaround."
"It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it."
"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."
"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."
"There needs to be multi-language support, however, my understanding is they are working on multi-language now."
"The solution shows a lack of cloud support data services."
"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."
"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."
"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."
Informatica Data Quality is ranked 1st in Data Quality with 18 reviews while SAP Data Services is ranked 2nd in Data Quality with 45 reviews. Informatica Data Quality is rated 7.8, while SAP Data Services is rated 8.0. The top reviewer of Informatica Data Quality writes "Quick on profiling and scales very well, but needs better UI and more reporting capabilities". On the other hand, the top reviewer of SAP Data Services writes "Responsive support, scalable, and beneficial integration". Informatica Data Quality is most compared with Informatica Cloud Data Quality, Talend Data Quality, Trillium TS Quality, Oracle Data Quality and SAS Data Management, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration and Palantir Foundry. See our Informatica Data Quality vs. SAP Data Services report.
See our list of best Data Quality vendors.
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