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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 Oct 1, 2024

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
186
Ranking in other categories
Data Integration (4th), Data Quality (1st), Business Process Management (BPM) (11th), Business-to-Business Middleware (6th), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (1st), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Mindshare comparison

As of September 2025, in the Test Data Management category, the mindshare of IBM InfoSphere Optim Test Data Management (TDM) is 8.0%, down from 9.2% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 4.9%, up from 4.8% 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)4.9%
IBM InfoSphere Optim Test Data Management (TDM)8.0%
Other87.1%
Test Data Management
 

Featured Reviews

Ajai Lal - PeerSpot reviewer
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.
SaurabhGaonshindhe - PeerSpot reviewer
Modular structure and AI features stream new reporting processes
One of my clients has a requirement; they want to integrate metadata into the process, which means, for example, if I just want to implement a new field into my database, that field needs to be reflected throughout, let's say, 200 mappings. This highlights the need for a data-driven approach. My experience with technical support from Informatica is quite interesting; I would rate it as nine out of ten for Informatica PowerCenter kind of products or the Informatica integration products, because my team can do some hands-on using their free licenses or one-month kind of products. However, for products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.

Quotes from Members

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

Pros

"Data masking features are the most valuable, as non-production environments are used by diverse parties and data privacy has to be guaranteed."
"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."
"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."
"I think the integration feature is probably one of the key features in Informatica MDM...Stability-wise, I rate the solution a ten out of ten."
"The product is scalable and excellent for enterprise-level organizations."
"You can extract and transfer your data as you wish it to be consumed later."
"The solution is applicable for both technical and business users."
"The valuable feature is metadata management. If you want to trace sensitive data, you can auto-classify them. You can search for sensitive information through EDC. Using Discovery, you can identify if there is any type of data set."
"Address Doctor gives an accurate combination of information provided with a level of returned threshold value."
"What I like best about Informatica MDM is its structured, table-based approach. Unlike Reltio, where data is only visible through the UI and cloud-based, the solution allows access to normalized tables. This means I can directly query and see data in each table. For instance, I can easily get all customer details from the customer table. However, for more complex queries, like seeing all customer interactions with the organization, some SQL knowledge is needed to join different tables and retrieve the details."
 

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."
"Informatica Axon needs to improve its interface."
"Once the data is masked, we won't be able to reverse it back to its original value."
"There are various areas for improvement in IDMC. Enhancements on the UI front, such as multiple templates and improved grid views, would be beneficial."
"The data discovery isn't that good yet for Salesforce. We have another tool that we use for this. It may be a problem because Salesforce on the cloud."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"The customer servive and support could be faster. There is a slow turnaround."
"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."
"Informatica Axon needs more integration connectors so that it can connect to systems and different kinds of datasets."
 

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."
"We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry."
"It's a costly solution"
"So, there are plans for licensing. There are subscription-based and usage-based licenses. Also, there are licenses for exceptional analytics, etc. In short, there are different models of licensing for every enterprise."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"The licensing price of the product depends on the organization's requirements."
"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."
"A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Insurance Company
16%
Educational Organization
10%
Computer Software Company
10%
Financial Services Firm
16%
Computer Software Company
10%
Manufacturing Company
10%
Insurance Company
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 Business42
Midsize Enterprise24
Large Enterprise134
 

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, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
 

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: July 2025.
867,370 professionals have used our research since 2012.