We performed a comparison between Informatica Data Quality and Microsoft Data Quality Services based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality."The user interface is flexible and the visibility of the data flow is amazing."
"I like the connectivity and richness of features for the technical team, the maturity of the product, and that it had a cloud version. There is Informatica Cloud, and it is part of the Informatica Cloud platform."
"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"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."
"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."
"This solution is particularly useful for data enrichment."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"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."
"Managing the licenses with the on-premises version was difficult."
"There is room for improvement in the Data Marketplace aspect."
"The ability of the product to leverage the power of big data could be improved."
"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"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."
"I would rate my experience with the initial setup a six out of ten, with one being very easy and ten being extremely challenging. So, there is room for improvement in the setup process."
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Informatica Data Quality is ranked 1st in Data Quality with 18 reviews while Microsoft Data Quality Services is ranked 14th in Data Quality with 1 review. Informatica Data Quality is rated 7.8, while Microsoft Data Quality 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 Microsoft Data Quality Services writes " Usefulness of data enrichment features, which can help improve data quality and accuracy". Informatica Data Quality is most compared with Informatica Cloud Data Quality, Talend Data Quality, Trillium TS Quality, Oracle Data Quality and SAP Data Quality Management, whereas Microsoft Data Quality Services is most compared with .
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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.
