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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
24th
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 (2nd), API Management (6th), Cloud Data Integration (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
 

Mindshare comparison

As of February 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 4.9%, down from 8.1% 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)4.9%
IBM Data Governance1.3%
Other93.8%
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 most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"Offers data lineage feature"
"We've used the solution for quite some time, so in our organization, the product is pretty mature."
"It has flexibility in extending the data model."
"It allows the creation of identical tasks that can be applied across multiple tables, ranging from 100 to even 1,000 tables."
"The dictionary, the search, and the ratings are without a doubt the most beneficial components of this solution."
"One of the most valuable features is that I don't need to buy a subscription for any functionality. With Informatica Cloud Data Management, I have all the functionality and features available. If I need to make an integration, I can go to that integration service. If I need to mask, provide, or clean some information, I can easily just pick up that feature and use it. It's very simple, and I have all the functions and capabilities I need to work with data."
"The solution is straightforward."
 

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."
"The solution is quite expensive."
"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."
"I would like to see more functionality added so that it is a bit closer to how much you can do with Informatica PowerCenter."
"The scalability is tough."
"Its look and feel needs improvement. It has a lousy look and feel. Informatica PIM is designed specifically for the retail industry. They need to make sure that it is also applicable to all the other industries and verticals."
"There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."
"We cannot sell the product directly with an additional layer."
"If I compare it with other MDM solutions in the market, one thing that can definitely be improved is automation to help with the configuration. Currently, when we are creating any staging of base object tables, all the columns have to be configured manually in the Informatica Hub Console. A lot of tables and different kinds of business columns have to be configured manually. There should be an automated process for this, especially in the Dev environment. When people are creating tables and columns from scratch, if there is a backend automated process for that, it would be really helpful. In Stibo, a similar feature is there wherein you can tag attributes to certain objects. It would be helpful if Informatica also provides a similar option. It would reduce the manual effort. It could be that such a feature is already there, but I am not aware of it."
 

Pricing and Cost Advice

Information not available
"The price is comparable."
"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
"It's a very expensive solution"
"Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."
"I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."
"The product is very expensive"
"It is an expensive solution. I would say it is the most expensive solution in the market."
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
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Use our free recommendation engine to learn which Data Governance solutions are best for your needs.
881,733 professionals have used our research since 2012.
 

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
13%
Comms Service Provider
10%
Insurance Company
8%
Retailer
8%
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
8%
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: January 2026.
881,733 professionals have used our research since 2012.