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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 solution is straightforward."
"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 most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services."
"Informatica Data Quality is a product that is worth the money."
"The advanced features like task flow and conditional integration are particularly useful."
"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"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."
"This solution allows you to easily access and make use of information that you have in your on-premises environment."
"The second feature I love is its modular design, where you can create a certain number of entities and create hierarchical entities."
"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 powerful and it's stable."
"It's very user friendly, and we can do everything in one place."
"The match engine is very good and the BPM solution is very good as well."
 

Cons

"The tool's performance is an area that should be given further consideration."
"The price modeling could be more flexible."
"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"Its cloud-based version has a few limitations compared to the on-premise version."
"The GUI needs to be a little more user-friendly and appealing."
"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 tool should provide a unified user interface to manage the data objects."
"The advertising makes promises about data analytics that it does not keep."
"The customer service and support were a little adamant about giving workarounds rather than accepting that something was not working correctly."
"There is scope for improvement with regard to the UI."
"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."
"The search feature for searching internal records could be improved."
 

Pricing and Cost Advice

"The solution's pricing model is easy, but it is very expensive."
"Informatica Cloud Data Quality is a costly solution."
"We are quite happy with the licensing model."
"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."
"I rate the licensing cost of Informatica MDM a five out of ten."
"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."
"We pay for a yearly subscription."
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
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
19%
Retailer
11%
Computer Software Company
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: December 2025.
881,733 professionals have used our research since 2012.