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."I am impressed by the solution's interface."
"Informatica Data Quality is a product that is worth the money."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"The user interface is flexible and the visibility of the data flow is amazing."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"I give the stability a ten out of ten."
"The logic is also simple. It makes it easy to build your extraction."
"The API tool in this product is very valuable; it is very easy to onboard and use."
"The most valuable feature of SAP Data Services is the integration with data sources."
"I appreciate having access to the SAP data."
"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 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."
"The reporting on the data, even from third-party software, is very good."
"There is room for improvement in the Data Marketplace aspect."
"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises."
"Their UI needs improvement. Their scorecards and reporting also need improvement. Their data quality reporting, especially their dashboards and scorecards, is lackluster at best. Its reporting capabilities are limited. If you want to do anything beyond its limited reporting capabilities, then you're going to have to use an external reporting tool such as Power BI or something like that."
"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."
"There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."
"The customer servive and support could be faster. There is a slow turnaround."
"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."
"In the future, Data Services should offer a cloud version."
"They could make it easier to work with web services."
"Integration with other products could be improved."
"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 pricing of the solution should be improved."
"The skillset of data engineers matters a bit to use all the functionality of this solution. Otherwise, the delivery speed won't be faster."
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 "Offers cloud version, good connectivity and data profiling features ". 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 Quality, Oracle Data Quality and IBM Infosphere Information Analyzer, 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.
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