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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
8.2
Reviews Sentiment
7.4
Number of Reviews
13
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

"The user-friendliness and performance of Informatica is quite impressive."
"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"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 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."
"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."
"The most valuable feature is the rule specification."
"Informatica Data Quality is a product that is worth the money."
"The way that the solution scans is very useful."
"The product improves data quality."
"We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."
"The solution allows the complete governance process, starting from the data quality, those definitions, and it can get the data quality in the EDC."
"The technical support services are good."
"The solution provides increased efficiency while still being user-friendly and easy to operate."
"The user interface which is very easy to use if we have any problems to solve."
 

Cons

"In certain domains, I am looking for material-level match features that are not customizable. The current solution requires code-writing and tweaking, while other solutions offer material-level matches."
"Some capabilities from the cloud version are not included in the on-premises version."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"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."
"The integration with older technology and cloud quality needs improvement."
"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."
"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."
"Its pricing model can be improved. The response time from technical support can also be improved."
"The user interface can be a bit more functionality-aligned."
"One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities."
"The tool's performance is an area that should be given further consideration."
"There are some limitations with Informatica Axon when one tries to connect or integrate it with Jira."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"Informatica MDM has limitations with connectivity."
"The configuration process is pretty lengthy and challenging and could be made easier to understand."
 

Pricing and Cost Advice

"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."
"We pay for a yearly subscription."
"Informatica Cloud Data Quality is a costly solution."
"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"I rate the licensing cost of Informatica MDM a five out of ten."
"It is cost effective and an easily accessible tool."
"The price is comparable."
"The platform has a premium cost. I rate the pricing as seven out of ten."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"Comparatively, their prices are a little bit too high."
"The licensing price of the product depends on the organization's requirements."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
9%
Computer Software Company
7%
Performing Arts
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?
One of the features that I'm looking at is match capabilities at a material level, which is currently not customizable. I often have to write code and tweak the features. Additionally, the user int...
What is your primary use case for Informatica Cloud Data Quality?
I use Informatica Data Quality for data profiling before starting any migration projects to understand what the data looks like. I also run quality reports on it, with mappings written for differen...
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: March 2025.
844,944 professionals have used our research since 2012.