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IBM Data Governance vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 11, 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

IBM Data Governance
Ranking in Data Governance
22nd
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Data Governance
3rd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Integration (2nd), Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (3rd), API Management (7th), Cloud Data Integration (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (1st), Metadata Management (1st), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (1st), AI Data Analysis (1st)
 

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of IBM Data Governance is 1.3%, up from 1.1% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 5.3%, down from 8.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)5.3%
IBM Data Governance1.3%
Other93.4%
Data Governance
 

Q&A Highlights

YN
Research Assistant at a educational organization with 10,001+ employees
 

Featured Reviews

Murali B - PeerSpot reviewer
Associate Manager at a consultancy with 10,001+ employees
Provides a single interface to monitor and navigate data quality metrics
One area with room for improvement would be the ability to generate detailed quality reports. Some Python libraries provide quality scores and reports—having that capability within IBM Data Governance would be beneficial. We can see the pass/fail results, but getting additional percentage ratios would add significant value. My experience with IBM Data Governance has mostly been with the GUI. I've noticed some latency when accessing the portal. Also, automating reports can sometimes hang, though that might depend on the overall system. That's where I see the most room for improvement – quicker report generation. Fetching specific data from the IBM Data Governance repository tends to be slower compared to other vendors. For example, Collibra has a more responsive GUI. Retrieving large datasets from the IBM catalog is particularly slow.
Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

Quotes from Members

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

Pros

"IBM Data Governance improved data analytics operations. During a company merger, we used IBM Data Governance to understand and bridge sample data between systems."
"The governance process was fully manual before, but Axon helped us configure those processes, giving us more visibility, transparency, and control over the data."
"Axon has a marketplace that allows you to showcase all the assets the data owner has, so they can request access. That's one feature we use extensively. Axon also offers great visibility and intuitive searchability, allowing you to easily search data assets. You can check the lineage and see the work EDC does. EDC handles all the classification, cataloging, and lineage. It's integrated with Axon, and anyone can see that."
"The most valuable features of the solution are pushdown, optimization, and partitioning, which can be used for frequent data loading, especially when we have a huge data volume in our company."
"Axon does one interesting thing that I don't think other tools do as well. It lets you rate data and incorporates Informatica's data quality feature into it. There are little indications and graphics that show you how good the data quality is, and you can drill into it to see where potential issues lie."
"The solution is easier to use compared to the other solutions."
"New tools are coming out that will enable you to achieve 90 percent of use cases with the out-of-the-box configuration, but I would like to keep Informatica tight here. Otherwise, you need a Java user edit course and other things to do multiple things that you cannot configure out of the box. They have to go through those use cases to do something if those can also be configured rather than coded."
"We've used the solution for quite some time, so in our organization, the product is pretty mature."
"It is a scalable product."
 

Cons

"One area with room for improvement would be the ability to generate detailed quality reports. Some Python libraries provide quality scores and reports—having that capability within IBM Data Governance would be beneficial."
"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."
"The user interface can be a bit more functionality-aligned."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"Certain applications are not being synced with the ION."
"In terms of what could be improved, they need to create a rules repository. Business rules for the attributes that you have, keeping them in that central repository, and governance of them is something which Axon is lacking a bit. The Informatica Data Quality tool actually caters to that, so that's probably why they have not built that up in the Axon, but it is definitely something that can be built in to this product, as well."
"Some functionalities can be a challenge in the cloud."
"The error information provided is not informative, as compared to Power Center."
"The on-prem version's functionalities may not be available on the cloud version."
 

Pricing and Cost Advice

Information not available
"The pricing model is something that can be improved."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"I rate Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price."
"Its pricing model can be improved."
"In terms of the licensing for Informatica Intelligent Cloud Services, we had the option of paying based on the number of users and paying based on the volume of data, and we went with the data volume licensing option. Informatica Intelligent Cloud Services isn't as expensive as CIG. The pricing for it is okay, so I'm rating it a four out of five in terms of pricing. We did use the email verification and address validation services which weren't part of the contract, so we had to pay additional fees for those services."
"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."
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Answers from the Community

YN
Research Assistant at a educational organization with 10,001+ employees
Sep 1, 2022
Sep 1, 2022
Hello Yegane, I recommend add Precisely Data360 Govern (Infogix Data360 Govern)
See 2 answers
TH
Architecture Sr. Manager, Data Design & Metadata Mgmt at a insurance company with 10,001+ employees
Sep 1, 2022
Besides features, don't forget to look at user experience and software performance. One of your choices is significantly lacking in both areas. You might consider adding erwin Data Intelligence Suite to your list. Something you might find interesting: Alation vs Collibra vs Quest (erwin) 2022 | Gartner Peer Insights  You can change the products you are comparing, seeing how others have rated the tools you are looking at.
DA
CEO at a tech services company with 51-200 employees
Sep 1, 2022
Hello Yegane, I recommend add Precisely Data360 Govern (Infogix Data360 Govern)
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Comms Service Provider
10%
Computer Software Company
7%
Insurance Company
7%
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
9%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
 

Questions from the Community

What do you like most about IBM Data Governance?
IBM Data Governance improved data analytics operations. During a company merger, we used IBM Data Governance to understand and bridge sample data between systems.
What is your experience regarding pricing and costs for IBM Data Governance?
I would rate pricing an eight out of ten, where one is cheap and ten is expensive. It's pretty expensive.
What needs improvement with IBM Data Governance?
One area with room for improvement would be the ability to generate detailed quality reports. Some Python libraries provide quality scores and reports—having that capability within IBM Data Governa...
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

No data available
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

TIAA CREF, Control Risks Group
The Travel Company, Carbonite
Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance. Updated: December 2025.
879,371 professionals have used our research since 2012.