We performed a comparison between Informatica Data Quality and SAP Data Quality Management based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality."The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"I am impressed by the solution's interface."
"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."
"The user interface is flexible and the visibility of the data flow is amazing."
"Seeing the data in the mapping itself is really nice."
"Informatica Data Quality is a product that is worth the money."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"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."
"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."
"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."
"The tool's performance is an area that should be given further consideration."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"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."
"Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria."
"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."
"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."
Informatica Data Quality is ranked 1st in Data Quality with 17 reviews while SAP Data Quality Management is ranked 5th in Data Quality with 2 reviews. Informatica Data Quality is rated 7.8, while SAP Data Quality Management is rated 8.6. 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 Quality Management writes "Scalable, stable, and offers good technical support". Informatica Data Quality is most compared with Informatica Cloud Data Quality, Talend Data Quality, Trillium TS Quality, Oracle Data Quality and Ataccama ONE Platform, whereas SAP Data Quality Management is most compared with SAP Data Services, SAP Information Steward, Melissa Data Quality, Informatica Address Verification and Syniti Data Quality.
See our list of best Data Quality vendors.
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.
