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Informatica Cloud Data Quality vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 6, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Informatica Cloud Data Quality
Ranking in Data Quality
3rd
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
14
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Data Quality
1st
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
182
Ranking in other categories
Data Integration (3rd), Business Process Management (BPM) (13th), Business-to-Business Middleware (4th), API Management (8th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (1st), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Mindshare comparison

As of April 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 9.2%, down from 10.3% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 20.6%, down from 25.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

TaherDungrawala - PeerSpot reviewer
Has good reusability and CDI features
I use Collibra Data Quality. I switched to Informatica because Collibra cannot integrate. Colibra Cloud Data Quality is a very basic tool. There is no integration capability. If you have problem records, there is no fix to remediate them using the same tool. With Informatica, you can integrate with CDI and then create a remediation plan.
Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"The out-of-the-box features and standard profiling options provide quick visibility of the data within minutes, which facilitates discussions with the business."
"Initial setup was fairly easy."
"I would definitely recommend Informatica Data Quality to others."
"The quality of the data improves with Informatica Cloud Data Quality."
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"Stability-wise, I rate the solution a ten out of ten."
"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."
"The most valuable feature of Informatica Axon is that it is flexible and user-friendly."
"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."
"We can see all our information on a single screen."
"Informatica provides a comprehensive solution for on-the-fly or real-time data masking."
"The OAuth feature is the most valuable feature for authentication."
"Informatica MDM has data quality, mastering the data's capability."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
"The most valuable features of Informatica MDM are the IDQ and RDM data management."
 

Cons

"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"Some capabilities from the cloud version are not included in the on-premises version."
"Support response time could be better."
"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."
"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."
"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."
"Logical views are a little bit behind in comparison to the on-premise version."
"The downside of Informatica Cloud Data Quality is that it requires a developer to write rules and maintain the systems. This creates a significant cost and time burden."
"Informatica Axon does not provide complete transparency about the level of detailing you need and the logic used in ETL."
"The solution doesn't directly connect to any of the analytical tools."
"The main issue probably has nothing to do with end users, but installation can definitely be simplified."
"The product is not too user-friendly to do the configurations."
"Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria."
"It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."
"It is not easy to set up and configure the tool."
"With the solution, we had some issues, and we have every day, and we used to open a ticket. Sometimes, there are data issues and transformation issues."
 

Pricing and Cost Advice

"We pay for a yearly subscription."
"Informatica Cloud Data Quality is a costly solution."
"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"The product is highly-priced."
"The product is very expensive"
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"The platform has a premium cost. I rate the pricing as seven out of ten."
"We got a 50% discount."
"The product has a high price point."
"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."
"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Computer Software Company
8%
Educational Organization
6%
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Informatica Cloud Data Quality?
The profiling features are much better than the on-premise version.
What needs improvement with Informatica Cloud Data Quality?
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 stabl...
What is your primary use case for Informatica Cloud Data Quality?
We use Informatica Cloud Data Quality ( /products/informatica-cloud-data-quality-reviews ) in a medium business environment.
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What are the biggest benefits of using Informatica Cloud Data Integration?
When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
 

Also Known As

Cloud Data Quality Radar
ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
 

Overview

 

Sample Customers

Freddie Mac, Rabobank
The Travel Company, Carbonite
Find out what your peers are saying about Informatica Cloud Data Quality vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: April 2025.
849,190 professionals have used our research since 2012.