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Informatica Cloud Data Quality pros and cons

Vendor: Informatica

4.1 out of 5

13 reviews
83% willing to recommend

134 followers

Pros & Cons summary

Informatica Cloud Data Quality offers valuable features like Master Data Management with logic rule coding and seamless integration, enhancing data quality. Although it facilitates server maintenance and quick data visibility through profiling, limitations exist in handling spatial data and cloud vs. on-premises capabilities. Users face a limited algorithm range and challenges in data rule imports, with pricing being a concern. Performance in parallelism can lag behind competitors like IBM.

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Prominent pros & cons

PROS

Master Data Management is considered one of the most valuable features of Informatica Cloud Data Quality.

The seamless integration with other Informatica capabilities makes data quality deeply embedded in the system.

Initial setup is reported to be fairly easy and user-friendly.

Cloud-based architecture eliminates the need for server maintenance, hosting, backup, restoration, and DB capabilities.

Out-of-the-box features and standard profiling options provide quick visibility and facilitate business discussions.

CONS

Informatica Cloud Data Quality lacks the capability to handle spatial data.

Features like web service consumer and provider available in the on-premises version are not in the cloud edition.

The integration with older technology and the cloud quality needs improvement.

Importing data discovery rules to Cloud Data Governance and Catalog is not possible.

Support response time could be improved.

Informatica Cloud Data Quality Pros review quotes

ES

Emmanuel Sikwane

Partner channel manager at Inactic

Nov 24, 2023

Stability-wise, I rate the solution a ten out of ten.

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reviewer2074323

Lead Data Engineer at a tech services company with 51-200 employees

Feb 14, 2023

The most valuable feature is the rule specification.

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reviewer2272017

Informatica Capability Owner at a insurance company with 10,001+ employees

Sep 6, 2023

The user-friendliness and performance of Informatica is quite impressive.

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reviewer2284407

Data Quality Team Lead at a pharma/biotech company with 10,001+ employees

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.

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TaherDungrawala

Data & Analytics Practice at Tech Mahindra Limited

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.

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KR

IT Professional at National Bank of Fujairah PJSC

Sep 4, 2024

Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud.

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reviewer2145525

IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees

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.

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consultant at a energy/utilities company with 5,001-10,000 employees

Mar 27, 2025

The quality of the data improves with Informatica Cloud Data Quality.

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reviewer2117469

Data Quality Director at a financial services firm with 5,001-10,000 employees

Dec 15, 2023

The profiling features are much better than the on-premise version.

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RX

Principal at a computer software company with 11-50 employees

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.

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Show 3 more reviews (out of 13)

Informatica Cloud Data Quality Cons review quotes

ES

Emmanuel Sikwane

Partner channel manager at Inactic

Nov 24, 2023

The high price of the product is an area of concern where improvements are required.

Read full review

reviewer2074323

Lead Data Engineer at a tech services company with 51-200 employees

Feb 14, 2023

The integration with older technology and cloud quality needs improvement.

Read full review

reviewer2272017

Informatica Capability Owner at a insurance company with 10,001+ employees

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.

Read full review

Download Free Report

Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Quality. Updated: March 2025.

842,767 professionals have used our research since 2012.

reviewer2284407

Data Quality Team Lead at a pharma/biotech company with 10,001+ employees

Oct 3, 2023

If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience.

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TaherDungrawala

Data & Analytics Practice at Tech Mahindra Limited

Jul 5, 2024

Support response time could be better.

Read full review

KR

IT Professional at National Bank of Fujairah PJSC

Sep 4, 2024

You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC).

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reviewer2145525

IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees

Feb 11, 2025

Improving the UI to be more business user-friendly would also be beneficial.

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consultant at a energy/utilities company with 5,001-10,000 employees

Mar 27, 2025

Informatica Cloud Data Quality has significant room for improvement. It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stable.

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reviewer2117469

Data Quality Director at a financial services firm with 5,001-10,000 employees

Dec 15, 2023

Logical views are a little bit behind in comparison to the on-premise version.

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RX

Principal at a computer software company with 11-50 employees

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.

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Show 3 more reviews (out of 13)

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