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Informatica Intelligent Data Management Cloud (IDMC) vs Stibo STEP MDM 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

Informatica Intelligent Dat...
Ranking in Cloud Master Data Management (MDM)
1st
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), Test Data Management (3rd), 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)
Stibo STEP MDM
Ranking in Cloud Master Data Management (MDM)
6th
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 19.8%, down from 32.1% compared to the previous year. The mindshare of Stibo STEP MDM is 6.0%, down from 7.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Master Data Management (MDM) Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)19.8%
Stibo STEP MDM6.0%
Other74.2%
Cloud Master Data Management (MDM)
 

Featured Reviews

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.
RahulSoni - PeerSpot reviewer
Senior Delivery Architect at Capgemini
Modular design, product-based MDM and easy to setup
Stibo is a great product if you want to utilize it in product-based MDM. Customer-base, they are still growing, but product-base is fine because every single time you have to create hierarchies in the product and not care about all the other stuff. But the major thing is the hierarchy, at which particular type that product is and what that product does, how it looks, what is the catalog, what are the relationships with other stuff. So, from that note, Stibo is great. Around 20 to 25 people were there when I was on a particular project. I knew around 20 to 25 people who knew Stibo MDM and were part of it.

Quotes from Members

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

Pros

"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"This is where I think MDM shines - with its strong fuzzy matching algorithm. This is the essence of Informatica MDM. Based on these results, I can write our match conditions and then perform the corresponding data management activities."
"Informatica is good for integrating data and cloud applications. We have connectors for integrating cloud applications like Salesforce. You can quickly integrate anything with an exposed API or a REST API. The industry is increasingly shifting to the cloud, so we need more products that can connect to cloud-based applications. The integration is seamless and works in real time. It's also secure because you don't need to expose databases or tables."
"The solution is applicable for both technical and business users."
"The solution has the best feature for parameterization."
"It is a highly scalable solution."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"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."
"It's powerful and it's stable."
"The second feature I love is its modular design, where you can create a certain number of entities and create hierarchical entities."
"The match engine is very good and the BPM solution is very good as well."
"Data profiling allows us to recognize values from our upstream applications. It helps us place limits on the creation of new data domains to organize the ecosystem. The golden record, crucial for downstream applications, ensures data integrity and consistency."
"It's very user friendly, and we can do everything in one place."
 

Cons

"We'd like to see the microservices, which don't run yet because the solution is not yet fully cloud-based."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"The pricing model is problematic."
"We haven't had many technical issues. We don't use all of the components of the tool that are more complex and error-prone."
"Its features for partitioning and optimization could be better."
"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."
"Its pricing model can be improved. The response time from technical support can also be improved."
"Database access is highly restricted particularly if you're using the cloud version."
"The search feature for searching internal records could be improved."
"The customer service and support were a little adamant about giving workarounds rather than accepting that something was not working correctly."
"The analytics module can be improved. It is a self-service solution for creating new reports and submitting visions to bring more data to the CEO table."
"The initial setup is complex."
"There is scope for improvement with regard to the UI."
 

Pricing and Cost Advice

"The price is high, but the competitors are even higher, like Collibra."
"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
"I rate the licensing cost of Informatica MDM a five out of ten."
"It is cost effective and an easily accessible tool."
"It's a very expensive solution"
"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."
"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."
"The solution is expensive."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
8%
Retailer
7%
Manufacturing Company
18%
Computer Software Company
11%
Retailer
11%
Financial Services Firm
7%
 

Company Size

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

Questions from the Community

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 ...
What needs improvement with Stibo STEP MDM?
Stibo needs to make it way much more efficient in the integration of the data. When you insert data, if you're not utilizing StepXML, the data load will take a lot of time. They can utilize direct ...
What is your primary use case for Stibo STEP MDM?
Our use case is based on the master data profile for customers and certain regulatory instances specific to Brazil. We used Stibo STEP MDM to create and manage the records for these datasets.
 

Also Known As

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

Overview

 

Sample Customers

The Travel Company, Carbonite
Sears Canada, Best Buy, Oriental Trading
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Stibo STEP MDM and other solutions. Updated: February 2026.
882,180 professionals have used our research since 2012.