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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
8.0
Reviews Sentiment
6.8
Number of Reviews
183
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) (2nd), 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

"It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"The dictionary, the search, and the ratings are without a doubt the most beneficial components of this solution."
"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."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
"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 tool's most valuable feature is bulk upload. We upload files in CSV or Excel format."
"It allows the creation of identical tasks that can be applied across multiple tables, ranging from 100 to even 1,000 tables."
"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."
"The second feature I love is its modular design, where you can create a certain number of entities and create hierarchical entities."
"It's powerful and it's stable."
"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."
"Its look and feel needs improvement. It has a lousy look and feel. Informatica PIM is designed specifically for the retail industry. They need to make sure that it is also applicable to all the other industries and verticals."
"Its pricing model can be improved. The response time from technical support can also be improved."
"We promote our code changes from a lower to a higher environment, which is highly complex when working with a multi-domain MDM like Informatica. This is the biggest obstacle for Informatica MDM, and I think they should change it because that's very time consuming."
"The initial setup was not very straightforward. Not complex, but not very simple either."
"The scalability is tough."
"They have too many diversified products. If you don't know Informatica, it's very confusing and feels very idiotic."
"There may be some types of limitations with the performance."
"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 search feature for searching internal records could be improved."
"The initial setup is complex."
 

Pricing and Cost Advice

"The licensing price of the product depends on the organization's requirements."
"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."
"The product is very expensive"
"The solution is very expensive."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
9%
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.
850,747 professionals have used our research since 2012.