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

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Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 2026

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

ibi Data Quality
Ranking in Data Quality
23rd
Average Rating
9.0
Reviews Sentiment
8.2
Number of Reviews
2
Ranking in other categories
Data Scrubbing Software (8th)
Informatica Intelligent Dat...
Ranking in Data Quality
1st
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
215
Ranking in other categories
Data Integration (1st), Business Process Management (BPM) (9th), Business-to-Business Middleware (4th), API Management (18th), Cloud Data Integration (4th), Data Governance (3rd), Test Data Management (4th), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (5th), Test Data Management Services (5th), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (3rd)
 

Mindshare comparison

As of November 2026, in the Data Quality category, the mindshare of ibi Data Quality is 2.2%, up from 2.0% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 10.3%, down from 13.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)10.3%
ibi Data Quality2.2%
Other87.5%
Data Quality
 

Featured Reviews

VP
Solutions Architect at GreenZone Solutions Inc
Offers numerous prebuilt data quality plans that can be reused for various data cleansing tasks
We had many duplicates originating from different source systems. We were able to match and deduplicate a significant amount of data. Additionally, we could synchronize and write back the latest information to the systems that were out of sync, ensuring they had the most recent data. As a result, we could write back and update the source systems.
RC
Contractor at Sanlam
Cloud data catalog has streamlined lineage and quality while leaving more automation to improve
I have not explored IDMC's automation capabilities driven by AI and metadata too much at the moment, but it is on the cards. We are basically creating the foundation, as the whole migration has taken place recently and it is still early days. I think Informatica Intelligent Data Management Cloud (IDMC) is evolving, and as the vendors move forward, they pick up new concepts from each other. I have seen that products leapfrog each other, and from my experience over the years, the big players tend to copy features or add enhancements based on industry trends. I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team. It is difficult to say what additional features I would prefer to see in the next release of IDMC. I would appreciate more automation on the lineage front, with more AI to seamlessly join independent sources and create seamless lineage between different technologies, such as from file into database A into a different database and landing up in a reporting system such as Cognos, Qlik, Qlik Sense, QlikView, or Power BI.

Quotes from Members

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

Pros

"Works quickly to develop and deploy to production."
"Ibi Data Quality offers numerous prebuilt data quality plans that can be reused for various data cleansing tasks. Additionally, it provides a variety of prebuilt match and merge rules for performing master data management,"
"One great feature with OmniGen is the time it takes to develop and deploy to production."
"The solution is straightforward."
"The solution's technical support is pretty good, especially since the turnaround time is good."
"MDM doesn't require a separate IDQ."
"The product is stable."
"Its data cleansing capabilities are very valuable. The match and merge and the audit trail functionalities are very good."
"It comes with lot of features and is a one-stop-shop solution for integration, data modeling, and data governance. Everything can be built under one particular umbrella. If any issues come up, then there won't be any blame game saying that it could be an integration issue or an MDM hub issue because it's wholly owned by Informatica. That's the biggest advantage of Informatica MDM over that of any other tools that are available on the market."
"The solution is applicable for both technical and business users."
"It's a stable product without any bugs or glitches."
 

Cons

"Their data governance portal can be improved. It lacks data governance-related features. Also, PII and anomaly detection could be valuable use cases for ibi. Adding these features would be a great enhancement."
"The special integration support is something that could be improved in the solution."
"The cloud version of Informatica, although easier and more advanced than PowerCenter, still requires a deep dive to fix bugs."
"When errors arise, contacting support can be frustrating."
"Most of the new features added by Informatica are through Elastic Mapping. It would be helpful to have features like multithreading or partitioning for Salesforce to enhance performance."
"It is expensive."
"One area that needs to improve is the user experience because it is very complex. The trial version is very complex so it's not easy to start using the program immediately. You must study the rules first."
"The solution doesn't directly connect to any of the analytical tools."
"Support response time could be better."
"Informatica is very expensive."
 

Pricing and Cost Advice

Information not available
"You can purchase licenses for this solution at different intervals. For example, annually or every three years. They recently changed their terms for licensing and now it is more flexible."
"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."
"Informatica Cloud Data Quality is a costly solution."
"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."
"It's offers value for money. They're more competitive with respect to pricing and offerings."
"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."
"It's a costly solution"
"We have licenses, and we are provided with certain particular services in the solution."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
11%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
 

Questions from the Community

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Also Known As

iWay Software Data Quality, iWay Omni-Gen Data Quality Edition, Omni-Gen Data Quality
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

ICA Fluor, Estonia Police Department, Kansas City Police Department
The Travel Company, Carbonite
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. ibi Data Quality and other solutions. Updated: November 2026.
920,769 professionals have used our research since 2012.