I am using Informatica Intelligent Data Management Cloud (IDMC) as a consultant providing technical support for the platform. I have been dealing with the product for approximately 20 years, starting with the PowerCenter tools and then moving to the Data Quality side. We used the on-premises Data Quality, the Enterprise Data Catalog, and Axon for the business metadata and glossary components, and we have migrated all of those on-premises solutions into the cloud solution. Regarding IDMC's real-time data streaming capability, we do not use it for any sort of replication as we have other tools that do that, such as Qlik for replication. Those tools were already established, and the biggest driver for us is a catalog, glossary, and data quality—those are the three primary areas that are our biggest use at the moment.
I am working on Informatica Intelligent Cloud Services currently. As a consultant, I provide services to companies and clients using Informatica Intelligent Cloud Services. The scalability of Informatica Intelligent Cloud Services is good. I can increase its size as and when required, and if any modifications are needed, it is easily adaptable. Monitoring is required but minimal, and there is a reduction in error rate.
Technical manager at a consultancy with 10,001+ employees
Real User
Top 10
Sep 15, 2025
My use case is basically on the client side, in the energy sector in the US, specifically with Duke Energy, who are using AWS for the Data Lake portion.
Data Architect at a tech services company with 11-50 employees
Real User
Jan 15, 2024
I use the solution in my company for data ingestion and the ETL process. Though in our company, we started to use the product for data cataloging, we still use it for ETL and data integration.
Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: June 2026.
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 am using Informatica Intelligent Data Management Cloud (IDMC) as a consultant providing technical support for the platform. I have been dealing with the product for approximately 20 years, starting with the PowerCenter tools and then moving to the Data Quality side. We used the on-premises Data Quality, the Enterprise Data Catalog, and Axon for the business metadata and glossary components, and we have migrated all of those on-premises solutions into the cloud solution. Regarding IDMC's real-time data streaming capability, we do not use it for any sort of replication as we have other tools that do that, such as Qlik for replication. Those tools were already established, and the biggest driver for us is a catalog, glossary, and data quality—those are the three primary areas that are our biggest use at the moment.
I am working on Informatica Intelligent Cloud Services currently. As a consultant, I provide services to companies and clients using Informatica Intelligent Cloud Services. The scalability of Informatica Intelligent Cloud Services is good. I can increase its size as and when required, and if any modifications are needed, it is easily adaptable. Monitoring is required but minimal, and there is a reduction in error rate.
My use case is basically on the client side, in the energy sector in the US, specifically with Duke Energy, who are using AWS for the Data Lake portion.
I use the solution in my company for data ingestion and the ETL process. Though in our company, we started to use the product for data cataloging, we still use it for ETL and data integration.