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.
Technology Lead at a computer software company with 5,001-10,000 employees
Real User
Nov 10, 2022
The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation.
Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: December 2025.
Principal Applications System Analyst at a university with 10,001+ employees
Real User
Aug 8, 2022
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.
Senior Architect at a computer software company with 10,001+ employees
Real User
Feb 8, 2021
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.
Informatica Intelligent Data Management Cloud (IDMC) offers seamless integration of master data management, data quality, and data integration with a cloud-native architecture supporting multiple data management styles, optimizing data governance through metadata management.IDMC enhances data synchronization and mapping tasks, utilizing a broad range of connectors to interact efficiently with data sources. Its precise address validation via AddressDoctor and intuitive navigation bolster user...
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 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 most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation.
The solution is stable.
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.
The user interface is flexible and the visibility of the data flow is amazing.
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.
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 am impressed by the solution's interface.