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IBM InfoSphere Optim Test Data Management (TDM) 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 InfoSphere Optim Test D...
Ranking in Test Data Management
5th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
15
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Test Data Management
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), Data Governance (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 Test Data Management category, the mindshare of IBM InfoSphere Optim Test Data Management (TDM) is 6.6%, down from 8.6% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 6.0%, up from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Test Data Management Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)6.0%
IBM InfoSphere Optim Test Data Management (TDM)6.6%
Other87.4%
Test Data Management
 

Featured Reviews

Ajai Lal - PeerSpot reviewer
Project Manager at Mphasis
Supports both legacy and non-legacy systems
The solution's initial setup is neither complex nor too easy. Around six or seven people, including database administrators, were involved in the solution's deployment. On a scale from one to ten, where one is difficult and ten is easy, I rate the solution's initial setup a four to five out of ten.
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

"The solution can be used on both legacy and non-legacy systems."
"I like the features compared to other tools. This tool is more flexible to use than other tools like an Oracle product or SAP product. I think IBM tools are more flexible, and this tool is also a good product."
"The platform's ability to generate metrics is the most valuable feature for data management. It is a user-friendly and easy-to-use tool."
"Data masking features are the most valuable, as non-production environments are used by diverse parties and data privacy has to be guaranteed."
"The scalability of the solution is excellent."
"The user interface which is very easy to use if we have any problems to solve."
"It is a very stable solution...It is a scalable solution."
"I am impressed by the solution's interface."
"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."
"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."
"Performance and flexibility-wise, they're very user-friendly."
"The solution scales well."
 

Cons

"I think it could be more secure. I don't have experience with the security aspects concerning PII data, but I think it can still be streamlined a little more. It could also have some more features, and the initial setup could be more straightforward."
"TDM's efficiency in terms of generating reports needs improvement. It could work faster."
"I would like to be able to combine different masking functions on the same column map, making more complex masking without the need of writing an Lua procedure."
"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."
"We would like to have accessibility to the repository."
"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."
"We cannot sell the product directly with an additional layer."
"I think they should work really hard on UI."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"There is room for improvement in the Data Marketplace aspect."
"The regions in which the data resides are still limited. This could be an issue in terms of the data residency laws of some of the countries. They should get more regions."
 

Pricing and Cost Advice

"You have to pay yearly for the license, which comes at a reduced cost. The monthly payment option for a shorter project duration is also good."
"We purchase TDM's yearly license."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"The pricing is high compared to other tools on the market."
"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."
"Informatica MDM's price could be lower."
"We got a 50% discount."
"The product is not very pocket-friendly for small and medium-sized businesses, and it is understandable because of the kind of features the tool gives."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
16%
Insurance Company
9%
Manufacturing Company
9%
Financial Services Firm
14%
Manufacturing Company
11%
Computer Software Company
8%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise14
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
 

Questions from the Community

What do you like most about IBM InfoSphere Optim Test Data Management (TDM)?
The platform's ability to generate metrics is the most valuable feature for data management. It is a user-friendly and easy-to-use tool.
What needs improvement with IBM InfoSphere Optim Test Data Management (TDM)?
TDM's efficiency in terms of generating reports needs improvement. It could work faster.
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

IBM Optim Test Data Management, Optim Test Data Management, IBM InfoSphere Optim Test Data Management
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

Dignity Health
The Travel Company, Carbonite
Find out what your peers are saying about IBM InfoSphere Optim Test Data Management (TDM) vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: February 2026.
882,886 professionals have used our research since 2012.