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

 

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
11th
Average Rating
9.0
Reviews Sentiment
8.2
Number of Reviews
2
Ranking in other categories
Data Scrubbing Software (5th)
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) (7th), Business-to-Business Middleware (2nd), API Management (5th), Cloud Data Integration (2nd), Data Governance (3rd), Test Data Management (2nd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (4th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
 

Mindshare comparison

As of June 2026, in the Data Quality category, the mindshare of ibi Data Quality is 2.4%, up from 0.3% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 9.5%, down from 19.4% 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)9.5%
ibi Data Quality2.4%
Other88.1%
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."
"One great feature with OmniGen is the time it takes 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,"
"The product is the best in the industry (as it is multidomain) and the vendor support is excellent."
"Its data cleansing capabilities are very valuable. The match and merge and the audit trail functionalities are very good."
"The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."
"It gives you accountability to centralize your data and have it available to different applications."
"This is where I think MDM shines - with its strong fuzzy matching algorithm. This is the essence of Informatica MDM. Based on these results, I can write our match conditions and then perform the corresponding data management activities."
"Their new licensing is very flexible. With Informatica Cloud, you have plenty of items under the same umbrella, such as services, offerings, data quality, and data masking. You have also got master data management and API management. What I really like about them is that you don't need to go to Informatica and say that you need a data integration module. You would say that you need iPaaS or Informatica Cloud. They'll then try to understand your needs and give you IPUs, which are the processing units. If I purchased a hundred IPUs from Informatica as a customer, I can use 70 IPUs for data integration. I would also need data quality, so I can use 10 IPUs for data quality. I can use the remaining 20 IPUs for API management. Down the line, if I see that my initial data integration needs for the development phase are met, then out of the 70 IPUs assigned for data integration, I can use 30 IPUs for data masking. I can shuffle these numbers in any way within the Informatica Cloud umbrella for the tenure for which I have subscribed to these IPUs. I can use all services the way I want. This flexibility is what I really love about Informatica. It also has got good connectors."
"I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward."
"We use parts and standardization for most of our testing. We purchase the US Postal Service address database, which is updated periodically. Many useful tools, such as Google Maps, can detect and mark new businesses or changes in business locations. Informatica captures and updates this information. Some periodic maintenance is involved, but setting it up is not overly complicated."
 

Cons

"The special integration support is something that could be improved in the solution."
"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."
"I think the price modeling could be improved."
"I think everything related to the APIs and the manageability of the APIs in Informatica MDM are areas where improvements are required."
"Don't know yet. In a trial now. There is much to find out, first and foremost, its performance level when compared with on-prem."
"I remember when I used it, there was some limitation in one of the data quality dimensions. I was not able to perform certain tasks on the cloud version, even though I could do them on the data center version."
"The solution is quite expensive."
"The cost of Informatica MDM is expensive and has room for improvement."
"I would rate it a seven out of ten due to lack of inbuilt BAM and BRE features."
"Metadata querying is right now not there in Informatica Cloud Data Integration."
 

Pricing and Cost Advice

Information not available
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"Its pricing model can be improved."
"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."
"The pricing is quite flexible."
"The price of Informatica Cloud Data Integration could be reduced."
"Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."
"The licenses attached to the solution are highly priced."
"Informatica Axon is expensive."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
13%
Manufacturing Company
11%
Construction Company
7%
Computer Software Company
6%
 

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

What is your experience regarding pricing and costs for iWay Omni-Gen Data Quality?
There is an upgrade to the existing version, where a different license could be used, but we have a perpetual license. I rate the product’s pricing a three out of ten, where one is cheap, and ten i...
What needs improvement with iWay Omni-Gen Data Quality?
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 ...
What advice do you have for others considering iWay Omni-Gen Data Quality?
For the on-prem solution, we installed a package on the web server. This package included web-based tools and development tools, which were Eclipse-based toolsets. These tools allowed us to design ...
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

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: June 2026.
900,644 professionals have used our research since 2012.