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

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 6, 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) Solutions
1st
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), Test Data Management (3rd), Data Management Platforms (DMP) (1st), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
Stibo STEP MDM
Ranking in Cloud Master Data Management (MDM) Solutions
5th
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 May 2025, in the Cloud Master Data Management (MDM) Solutions category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 28.0%, down from 35.6% compared to the previous year. The mindshare of Stibo STEP MDM is 8.3%, up from 7.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Master Data Management (MDM) Solutions
 

Featured Reviews

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.
RahulSoni - PeerSpot reviewer
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 scalability is very high."
"The most valuable feature of Informatica MDM is hierarchy management. It's not something that's typically available and effective within ERPs."
"A great product enrichment tool."
"The product is scalable and excellent for enterprise-level organizations."
"I rate the technical support a ten out of ten."
"The solution allows the complete governance process, starting from the data quality, those definitions, and it can get the data quality in the EDC."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"The solution offers good data governance."
"The match engine is very good and the BPM solution is very good as well."
"It's powerful and it's stable."
"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."
"The second feature I love is its modular design, where you can create a certain number of entities and create hierarchical entities."
 

Cons

"One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities."
"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."
"The user interface can be a bit more functionality-aligned."
"The solution is quite expensive."
"Their support should be improved. We have had some trouble with their support from time to time. Its scalability should also be improved. I would also like to have a bit more modern and friendly UI for the end-users. There should definitely be a simplified way to configure and set it up."
"The integration could be a bit better. The process is something new."
"A general improvement in icons and the virtual interface would be good."
"Its features for partitioning and optimization could be better."
"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

"Informatica MDM's pricing is not cheap but comparable to other vendors."
"We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."
"The solution's pricing model is easy, but it is very expensive."
"It is expensive. That's probably the biggest drawback. The business has heartache paying the license, but that's mainly because they don't realize what value it brings. The key thing about the MDM solution is that it is in the backend, and no one sees what it is actually doing. You don't know it is a problem until it is not there."
"The pricing is high compared to other tools on the market."
"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 Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price."
"Informatica MDM's pricetag should come down. They have to cut some costs."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
6%
Manufacturing Company
17%
Computer Software Company
16%
Retailer
11%
Financial Services Firm
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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, 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
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: April 2025.
849,686 professionals have used our research since 2012.