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Informatica Intelligent Data Management Cloud (IDMC) vs Stibo Systems Product Master Data Management comparison

 

Comparison Buyer's Guide

Executive Summary

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 Systems Product Maste...
Ranking in Cloud Master Data Management (MDM) Solutions
14th
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
1
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 Systems Product Master Data Management is 1.4%, down from 1.5% 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.
Venkat Narayanan - PeerSpot reviewer
Ensures compliance, simple setup, and scalable
Stibo Systems Product Master Data Management is mainly used to help with implementing GDPR. It can help in the retention period limited aspects. It ensures that your systems are compliant with GDPR, and that saves a lot of time. Additionally, it is helping save a lot of money and ensuring that we…

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."
"The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server."
"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"It's got a reputation in the industry as one of the best solutions for master data management. So, it's what we see in the Gartner top right quadrant as the best product in that space."
"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."
"I think that it's a good solution...It is stable because we have the experience to deploy this solution."
"We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."
"One of the most valuable features in Stibo Systems Product Master Data Management is security."
 

Cons

"Once the data is masked, we won't be able to reverse it back to its original value."
"The price modeling could be more flexible."
"Informatica's support understands the solution, but they lack the experience we need for our use case. That was one thing that we prioritized when we started searching for this kind of solution."
"They could improve technical support because it is not good enough at the moment."
"I think they should work really hard on UI."
"Enhancements on the UI front, such as multiple templates and improved grid views, would be beneficial."
"From multiple masters that are there in Informatica MDM, we can improve the financials."
"The GUI needs to be a little more user-friendly and appealing."
"Stibo Systems Product Master Data Management can improve by being more user-friendly."
 

Pricing and Cost Advice

"Informatica MDM's pricetag should come down. They have to cut some costs."
"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
"I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."
"The licensing price of the product depends on the organization's requirements."
"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."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
6%
Energy/Utilities Company
10%
Retailer
10%
Manufacturing Company
10%
Financial Services Firm
8%
 

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 ...
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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
Stibo Systems PMDM
 

Overview

 

Sample Customers

The Travel Company, Carbonite
adidas, best buy, conrad, colruyt group, Landal, leroy merlin, MEC, office depot, peak performance, saraiva
Find out what your peers are saying about Informatica, Reltio, TIBCO and others in Cloud Master Data Management (MDM) Solutions. Updated: March 2025.
849,686 professionals have used our research since 2012.