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."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."
"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"I give the stability a ten out of ten."
"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."
"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."
"There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"This solution is particularly useful for data enrichment."
"Informatica is very expensive."
"The ability of the product to leverage the power of big data could be improved."
"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 tools required to migrate existing mappings and server rules through cloud data quality are not available."
"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."
"The tool's performance is an area that should be given further consideration."
"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."
"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 "Offers cloud version, good connectivity and data profiling features ". 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 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.