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IBM InfoSphere Optim Test Data Management (TDM) vs Informatica Intelligent Data Management Cloud (IDMC) comparison

IBM and Informatica are both solutions in the Test Data Management category. IBM is ranked #6 with an average rating of 8.0, while Informatica is ranked #3 with an average rating of 7.7. IBM holds a 8.8% mindshare in TDM, compared to Informatica’s 3.9% mindshare. Additionally, 88% of IBM users are willing to recommend the solution, compared to 93% of Informatica users who would recommend it.
IBM InfoSphere Optim Test D...
Read 15 IBM InfoSphere Optim Test Data Management (TDM) reviews
  • 793 Views
  • 317 Comparison Views
88% willing to recommend
Informatica Intelligent Dat...
Read 182 Informatica Intelligent Data Management Cloud (IDMC) reviews
  • 297 Views
  • 111 Comparison Views
93% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 1, 2024

Informatica Intelligent Data Management Cloud and IBM InfoSphere Optim Test Data Management compete in the data management solutions category. IDMC is more favorable in user reviews, while IBM TDM is known for its superior features that justify its price.

Features: Informatica IDMC offers comprehensive data integration, scalability, and AI-driven insights. IBM TDM provides robust data masking, subsetting capabilities, and excels in managing varied complex environments.

Room for Improvement: IDMC users suggest enhancements in documentation, third-party tool integration, and ecosystem integration. TDM users see improvement areas in performance, user interface, and overall ease of use.

Ease of Deployment and Customer Service: IDMC is known for straightforward deployment and excellent support, receiving positive user reviews. IBM TDM, while more complex to deploy, is backed by reliable customer service.

Pricing and ROI: IDMC offers competitive pricing with significant ROI due to its efficient integration and analytics. IBM TDM is more expensive but provides a worthwhile ROI for complex data management needs through its advanced features.

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To learn more, read our detailed IBM InfoSphere Optim Test Data Management (TDM) vs. Informatica Intelligent Data Management Cloud (IDMC) Report (Updated: March 2025).
Buyer's Guide
IBM InfoSphere Optim Test Data Management (TDM) vs. Informatica Intelligent Data Management Cloud (IDMC)
March 2025
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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
6th
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
7.8
Reviews Sentiment
6.8
Number of Reviews
182
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (13th), Business-to-Business Middleware (4th), API Management (8th), Cloud Data Integration (3rd), Data Governance (2nd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (1st), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Mindshare comparison

As of April 2025, in the Test Data Management category, the mindshare of IBM InfoSphere Optim Test Data Management (TDM) is 8.8%, down from 12.2% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.9%, up from 3.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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.
Read full review
Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.
Read full review

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."
"Data masking features are the most valuable, as non-production environments are used by diverse parties and data privacy has to be guaranteed."
"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."
"We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."
"The mass ingestion functionality and the elasticity of the solution are great."
"The features for data quality, data cataloging, and UI are excellent."
"The solution's technical support is pretty good, especially since the turnaround time is good."
"It is easy to create REST-based interfaces of the master data objects."
"The most valuable feature of Informatica Axon has been the data marketplace."
"A great product enrichment tool."
"I think that it's a good solution...It is stable because we have the experience to deploy this solution."
More Informatica Intelligent Data Management Cloud (IDMC) pros
 

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."
"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."
"TDM's efficiency in terms of generating reports needs improvement. It could work faster."
"The solution still is a bit manual in its functionality. We want t to be more automation-driven."
"Performance also needs to be significantly improved, especially when connecting to SFDC for read and write operations."
"We currently have issues with real-time integration."
"The ability of the product to leverage the power of big data could be improved."
"Informatica Cloud Data Integration can improve by being more user-friendly. When you're working with the solution a lot of technical knowledge is required. It's not a solution that anyone can use properly, you need knowledge of what's happening at the back end, such as SQL. When you get stuck, you need to look into your logic. For other tools, such as Dell Boomi, anyone can use them."
"There are also some technical issues sometimes with integrations because clients have a lot of different types of data sources."
"There's no direct way to connect to Amazon APIs from Informatica Cloud."
"The pricing model is problematic."
More Informatica Intelligent Data Management Cloud (IDMC) cons
 

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."
"It is an expensive solution. I would say it is the most expensive solution in the market."
"There is no doubt that it is very expensive, but the brand value comes at a cost. Other MDM solutions in the market that haven't proven themselves like Informatica are also pretty expensive. We need to understand that MDM itself is very expensive to implement. So, Informatica is also pretty expensive. I would rate it a two out of five for being pretty expensive."
"Informatica MDM is a costly solution because it comes as a bundle. They are also globally positioning themselves and are definitely working on very upgraded technologies. If someone wanted to do it on the cloud, they have a lot of flexibility because they upgrade themselves according to the current needs. It definitely comes with a lot of features and that's the reason why it's costly. The licensing cost should be approximately one million dollars. It's about four to five times that of other vendors."
"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
"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"
"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 a very expensive solution"
More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Insurance Company
14%
Manufacturing Company
9%
Educational Organization
8%
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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.
See all answers
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.
See all answers
What is your primary use case for IBM InfoSphere Optim Test Data Management (TDM)?
The solution is used mainly for data masking.
See all answers
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...
See all answers
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...
See all answers
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 ...
See all answers
 

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Product Reports

Buyer's Guide
Test Data Management
March 2025
IBM InfoSphere Optim Test Data Management (TDM) reportDownload IBM InfoSphere Optim Test Data Management (TDM) product report
Buyer's Guide
Informatica Intelligent Data Management Cloud (IDMC)
March 2025
Informatica Intelligent Data Management Cloud (IDMC) reportDownload Informatica Intelligent Data Management Cloud (IDMC) product report
 

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

IBM Optim solutions manage data from requirements to retirement. They boost performance, empower collaboration, and improve governance across applications, databases and platforms. By managing data properly over its lifetime, organisations are better equipped to support business goals with less risk.

IBM

Informatica Intelligent Data Management Cloud (IDMC) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.

IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.

What are the most important features?

  • Data discovery: Facilitates identifying and understanding data sources.
  • Data profiling: Analyzes old databases for data quality.
  • Data and platform masking: Ensures data protection.
  • Salesforce integration: Seamless connectivity with Salesforce.
  • Mastering data: Centralizing and standardizing data.
  • UI intuitiveness: User-friendly interface.
  • Feature map flexibility: Adapts to user needs.
  • Business glossary creation: Defines business terms.
  • Data lineage: Tracks data flow and transformations.
  • Automation: Streamlines data processes.
  • Enterprise data cataloging: Organizes extensive data assets.
  • Scalability: Supports expanding data requirements.
  • Easy setup: Quick deployment process.
  • Bulk upload: Efficiently handles large data volumes.
  • Customizable data management: Tailors data solutions.
  • Real-time data streaming: Manages live data streams.
  • Integration with Hadoop and NoSQL: Connects with big data platforms.

What benefits and ROI should be considered?

  • Regulatory compliance: Ensures adherence to regulations.
  • Data protection: Safeguards sensitive information.
  • Enhanced data quality: Improves accuracy and reliability.
  • Centralized data: Consolidates data for better management.
  • Process automation: Reduces manual tasks and errors.

Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.

Informatica
 

Sample Customers

Dignity Health
The Travel Company, Carbonite
Buyer's Guide
IBM InfoSphere Optim Test Data Management (TDM) vs. Informatica Intelligent Data Management Cloud (IDMC)
March 2025
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