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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:
 

ROI

Sentiment score
4.6
Informatica Cloud Data Quality provides trusted data and ROI, but takes two years to realize value unlike Collibra Catalog.
Sentiment score
7.1
Informatica IDMC enhances data quality, efficiency, and analytics, offering secure integration and reduced cloud migration costs for businesses.
The stability and performance remain issues.
Compared to Collibra Catalog, where the value is noticeable within six months.
We see return on investment from this solution in terms of time; time reduction or cost benefits is what we are getting very good results from.
 

Customer Service

Sentiment score
5.7
Informatica Cloud Data Quality excels in customer support despite initial learning curves and occasional response delays, receiving exceptional ratings.
Sentiment score
6.9
Informatica's customer service is praised for quick, knowledgeable support, though response times can vary with customization and membership levels.
Even after going out of service support, they still reached back to me whenever I raised tickets.
The support is not very good; each ticket starts from scratch as there is no continuity between personnel handling the same ticket.
I would evaluate Informatica's technical support as good.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
The response time is pretty good because we have someone in-house, who is an expert from Informatica, in our team who can help us with any sort of queries usually.
If they are unsure how to resolve an issue, they keep customers informed, providing updates about progress and ensuring communication with the product team to deliver accurate responses.
 

Scalability Issues

Sentiment score
6.8
Informatica Cloud Data Quality is scalable and efficient, handling large datasets seamlessly in cloud with varying user ratings.
Sentiment score
7.3
Informatica IDMC delivers scalable, flexible data management across cloud and on-premise environments, accommodating diverse enterprise needs efficiently.
I have used the product over multiple systems and was able to write reports for large data sets without any performance issues.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
I find Informatica Intelligent Data Management Cloud (IDMC) to be a sustainable and scalable solution.
 

Stability Issues

Sentiment score
6.4
Informatica Cloud Data Quality is generally stable, though the on-premise version is more reliable, facing fewer update issues.
Sentiment score
7.7
Informatica Cloud is highly rated for stability, despite occasional issues; support effectively resolves any reported bugs.
There are substantial stability issues with Informatica Cloud Data Quality on the cloud.
I find the stability to be good, with occasional restarts required every two to three months due to glitches.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
 

Room For Improvement

Informatica Cloud Data Quality needs improvements in spatial data handling, connectivity, user interface, configuration, stability, and support access.
Informatica IDMC requires improvements in integration, user interface, performance, support consistency, connectivity, automation, data tagging, and pricing.
The current solution requires code-writing and tweaking, while other solutions offer material-level matches.
It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stable.
This creates a significant cost and time burden, especially since we followed a strict software development life cycle process, which made creating each rule time-consuming and expensive.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
 

Setup Cost

Informatica Cloud Data Quality is costly with inflexible pricing, lacking a pay-as-you-go model and incurring high licensing fees.
Informatica IDMC, a costly solution for large enterprises, offers extensive features and flexibility, justifying its premium pricing.
The pricing for Informatica Cloud Data Quality is super expensive.
It ranges from a quarter million to a couple of million a year.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC) has.
 

Valuable Features

Informatica Cloud Data Quality provides seamless integration, robust management, AI-driven accuracy, and real-time monitoring for enhanced data quality.
Informatica IDMC excels in data management with strong integration, AI-driven analytics, and a flexible user interface.
We could run data quality rules as part of Service Bus, which ensured the integrity of customer information before it was entered into our database.
Regarding the features, the dashboards related to data quality profiling are the most powerful tool that we are using, and the integration between EDC and the data quality is very important.
The out-of-the-box features and standard profiling options provide quick visibility of the data within minutes.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
In on-premise, we call it EDC for metadata management, while in cloud-based technologies, it is known as the Metadata Command Center, which serves the same purpose as EDC concerning CDGC.
 

Categories and Ranking

Informatica Cloud Data Quality
Ranking in Data Quality
3rd
Average Rating
8.0
Reviews Sentiment
5.9
Number of Reviews
17
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Data Quality
1st
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
186
Ranking in other categories
Data Integration (4th), Business Process Management (BPM) (11th), Business-to-Business Middleware (6th), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (1st), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Mindshare comparison

As of September 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 4.4%, down from 9.1% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 11.2%, down from 23.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)11.2%
Informatica Cloud Data Quality4.4%
Other84.4%
Data Quality
 

Featured Reviews

Mehmet SukruKaya - PeerSpot reviewer
Improved data quality significantly enhances project efficiency and effectiveness
I am not utilizing the data quality rules management part yet. We had a bad experience before Informatica Cloud Data Quality. We started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model. If we have an application like Informatica Cloud Data Quality or a data quality platform, we can finish the project in less than three months. This is the on-prem data that we ingested. We don't use any cloud data that we have. For now, we are just using the on-prem data, and we don't have any integration from the data outside of the on-prem. I would recommend it to other users. On a scale of 1-10, I rate this solution a 9.
SaurabhGaonshindhe - PeerSpot reviewer
Modular structure and AI features stream new reporting processes
One of my clients has a requirement; they want to integrate metadata into the process, which means, for example, if I just want to implement a new field into my database, that field needs to be reflected throughout, let's say, 200 mappings. This highlights the need for a data-driven approach. My experience with technical support from Informatica is quite interesting; I would rate it as nine out of ten for Informatica PowerCenter kind of products or the Informatica integration products, because my team can do some hands-on using their free licenses or one-month kind of products. However, for products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.
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Top Industries

By visitors reading reviews
Computer Software Company
11%
Financial Services Firm
11%
Manufacturing Company
11%
Healthcare Company
7%
Financial Services Firm
16%
Computer Software Company
10%
Manufacturing Company
10%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise2
Large Enterprise9
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise24
Large Enterprise134
 

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?
I think it would be very useful to have the same features on the data center version available on the cloud version. I remember when I used it, there was some limitation in one of the data quality ...
What is your primary use case for Informatica Cloud Data Quality?
I worked on a project where we had to use these tools to execute the data quality requirements from assessment perspectives to scorecards and similar tasks. I haven't used any other tools, so I can...
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: September 2025.
867,349 professionals have used our research since 2012.