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Informatica Cloud Data Quality pros and cons

Vendor: Informatica
4.1 out of 5
129 followers
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Informatica Cloud Data Quality Pros review quotes

ES
Nov 24, 2023
Stability-wise, I rate the solution a ten out of ten.
VJ
Feb 14, 2023
The most valuable feature is the rule specification.
VP
Sep 6, 2023
The user-friendliness and performance of Informatica is quite impressive.
Find out what your peers are saying about Informatica, Oracle, Microsoft and others in Data Quality. Updated: April 2024.
768,886 professionals have used our research since 2012.
AB
Oct 3, 2023
We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog.
HH
Dec 15, 2023
The profiling features are much better than the on-premise version.
RX
Aug 24, 2021
One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality.
MU
Nov 20, 2021
Initial setup was fairly easy.
Avra Jyoti Ghosh - PeerSpot reviewer
Aug 25, 2022
The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based.
 

Informatica Cloud Data Quality Cons review quotes

ES
Nov 24, 2023
The high price of the product is an area of concern where improvements are required.
VJ
Feb 14, 2023
The integration with older technology and cloud quality needs improvement.
VP
Sep 6, 2023
In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition.
Find out what your peers are saying about Informatica, Oracle, Microsoft and others in Data Quality. Updated: April 2024.
768,886 professionals have used our research since 2012.
AB
Oct 3, 2023
If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience.
HH
Dec 15, 2023
Logical views are a little bit behind in comparison to the on-premise version.
RX
Aug 24, 2021
I used to use this tool more but recently we have been using another tool that we feel is better because it handles spatial data. Informatica Cloud Data Quality could improve by adding the ability to handle spatial data.
MU
Nov 20, 2021
Some capabilities from the cloud version are not included in the on-premises version.
Avra Jyoti Ghosh - PeerSpot reviewer
Aug 25, 2022
Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM.