Informatica Intelligent Cloud Services has a good user interface. However, when it comes to technical errors, we have to go through the logs. Error analysis becomes difficult as finding the exact location of the error in the logs is challenging. The log records could be better organized. It is difficult for me to provide metrics regarding time saved or productivity gains using Informatica Intelligent Cloud Services features at this time.
Technical manager at a consultancy with 10,001+ employees
Real User
Top 10
Sep 15, 2025
Improvement depends upon how we can faster showcase our data in our reports, whether in Power BI, Tableau, or other formats. Improving the speed of data showcasing and filtration would be better, and though we can customize these aspects in Informatica Enterprise Data Lake, there's still room for enhancement. One area for improvement could be in the integration part, making it smarter and having a plug-and-play approach, allowing users to retrieve data without needing to write the codes or manage the libraries and functions.
Data Architect at a tech services company with 11-50 employees
Real User
Jan 15, 2024
Governance, data dictionary, and data cataloging are not available in Informatica Enterprise Data Lake. A lot of businesses are facing issues related to understanding the area revolving around insights of data. At Informatica Enterprise Data Lake's level, in our company, we have a lot of redundant data in a lot of our core systems. The basic thing that our company wants is for the product to develop a reporting layer and access data from the document layer so that we can avoid duplication in projects, databases, and data. There is a lot of maintenance to be done owing to the instability users may face every time because of the huge processing capacity as the company has around more than 50 nodes, which causes a lot of maintenance issues because of which a lot of people don't benefit from the platform as it functions in a slow manner. Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems. Every time, we have to find different tools we can use in our company with the solution since it doesn't support many real-time systems. Even if our company invests in some tools, Informatica Enterprise Data Lake creates too many small files with some issues, which we cannot read because we invested in HBase and Kudu, but performance-wise, the process is slow.
Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: January 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...
Informatica Intelligent Cloud Services has a good user interface. However, when it comes to technical errors, we have to go through the logs. Error analysis becomes difficult as finding the exact location of the error in the logs is challenging. The log records could be better organized. It is difficult for me to provide metrics regarding time saved or productivity gains using Informatica Intelligent Cloud Services features at this time.
Improvement depends upon how we can faster showcase our data in our reports, whether in Power BI, Tableau, or other formats. Improving the speed of data showcasing and filtration would be better, and though we can customize these aspects in Informatica Enterprise Data Lake, there's still room for enhancement. One area for improvement could be in the integration part, making it smarter and having a plug-and-play approach, allowing users to retrieve data without needing to write the codes or manage the libraries and functions.
Governance, data dictionary, and data cataloging are not available in Informatica Enterprise Data Lake. A lot of businesses are facing issues related to understanding the area revolving around insights of data. At Informatica Enterprise Data Lake's level, in our company, we have a lot of redundant data in a lot of our core systems. The basic thing that our company wants is for the product to develop a reporting layer and access data from the document layer so that we can avoid duplication in projects, databases, and data. There is a lot of maintenance to be done owing to the instability users may face every time because of the huge processing capacity as the company has around more than 50 nodes, which causes a lot of maintenance issues because of which a lot of people don't benefit from the platform as it functions in a slow manner. Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems. Every time, we have to find different tools we can use in our company with the solution since it doesn't support many real-time systems. Even if our company invests in some tools, Informatica Enterprise Data Lake creates too many small files with some issues, which we cannot read because we invested in HBase and Kudu, but performance-wise, the process is slow.