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Informatica Cloud Data Quality pros and cons

Vendor: Informatica
4.2 out of 5
134 followers
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Pros & Cons summary

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Prominent pros & cons

PROS

Informatica Cloud Data Quality offers powerful Master Data Management features and allows custom logic rules through code.
The cloud-based nature of Informatica Cloud Data Quality is one of its most beneficial characteristics.
Seamless integration with other Informatica capabilities embeds data quality as a core component.
The initial setup of Informatica Cloud Data Quality is straightforward.
Out-of-the-box features and standard profiling options enable quick data visibility, aiding business discussions.

CONS

Informatica Cloud Data Quality lacks the capability to handle spatial data, while some other tools offer this functionality.
Certain features found in the on-premises version are not available in the cloud version, such as web service consumer and provider functionalities.
The number of algorithms for matching and mastering in Informatica Cloud Data Quality is limited, and the tool requires better parallelism in data processing, as seen in other solutions like IBM.
There is a discrepancy between logical views available in the cloud and on-premises versions, with the latter being more advanced.
There is an inability to import data discovery rules into Cloud Data Governance and Catalog (CDGC).
 

Informatica Cloud Data Quality Pros review quotes

ES
Nov 24, 2023
Stability-wise, I rate the solution a ten out of ten.
reviewer2074323 - PeerSpot reviewer
Feb 14, 2023
The most valuable feature is the rule specification.
reviewer2272017 - PeerSpot reviewer
Sep 6, 2023
The user-friendliness and performance of Informatica is quite impressive.
Find out what your peers are saying about Informatica, Microsoft, Oracle and others in Data Quality. Updated: February 2025.
838,713 professionals have used our research since 2012.
reviewer2284407 - PeerSpot reviewer
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.
TaherDungrawala - PeerSpot reviewer
Jul 5, 2024
The reusability factors are nice. The Cloud Data Quality is much better. A major flaw in the previous version was integration with the catalog, which is now seamless.
KR
Sep 4, 2024
Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud.
reviewer2145525 - PeerSpot reviewer
Feb 11, 2025
The out-of-the-box features and standard profiling options provide quick visibility of the data within minutes, which facilitates discussions with the business.
reviewer2117469 - PeerSpot reviewer
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
Aug 22, 2024
An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution.
 

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.
reviewer2074323 - PeerSpot reviewer
Feb 14, 2023
The integration with older technology and cloud quality needs improvement.
reviewer2272017 - PeerSpot reviewer
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, Microsoft, Oracle and others in Data Quality. Updated: February 2025.
838,713 professionals have used our research since 2012.
reviewer2284407 - PeerSpot reviewer
Oct 3, 2023
If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience.
TaherDungrawala - PeerSpot reviewer
Jul 5, 2024
Support response time could be better.
KR
Sep 4, 2024
You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC).
reviewer2145525 - PeerSpot reviewer
Feb 11, 2025
Improving the UI to be more business user-friendly would also be beneficial.
reviewer2117469 - PeerSpot reviewer
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
Aug 22, 2024
Accessing data as a service is essential, especially for validations requiring external data services. This goes beyond basic syntactic checks, like ensuring an email address contains the @ symbol or .com domain. Instead, it's about advanced validation, such as verifying if an email address exists or if a phone number is valid.