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Informatica Intelligent Data Management Cloud (IDMC) vs Stibo STEP MDM 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) (6th), Business-to-Business Middleware (3rd), API Management (7th), 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 (2nd), Product Information Management (PIM) (1st), Data Observability (2nd)
Stibo STEP MDM
Ranking in Cloud Master Data Management (MDM) Solutions
5th
Average Rating
8.0
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the Cloud Master Data Management (MDM) Solutions category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 31.4%, down from 35.6% compared to the previous year. The mindshare of Stibo STEP MDM is 7.8%, up from 7.1% 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

"Data synchronization tasks."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"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."
"Seeing the data in the mapping itself is really nice."
"The solution is straightforward."
"The scalability of the solution is excellent."
"One of the most valuable features is that I don't need to buy a subscription for any functionality. With Informatica Cloud Data Management, I have all the functionality and features available. If I need to make an integration, I can go to that integration service. If I need to mask, provide, or clean some information, I can easily just pick up that feature and use it. It's very simple, and I have all the functions and capabilities I need to work with data."
"The most important features are the mastering of the data and the UI intuitiveness."
"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."
"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."
"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."
 

Cons

"There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"It is not easy to set up and configure the tool."
"The product interface could be improved to be more intuitive."
"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."
"I think they should work really hard on UI."
"The solution is quite expensive."
"The only thing that I can imagine that might be improved is how the available transactions verify addresses used. These transactions have a valid end date and must be used within the agreed timeframe."
"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."
"There is scope for improvement with regard to the UI."
"The search feature for searching internal records could be improved."
"The initial setup is complex."
 

Pricing and Cost Advice

"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"Comparatively, their prices are a little bit too high."
"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
"The product has a high price point."
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
"Informatica Axon is expensive."
"Its pricing model can be improved."
"We have licenses, and we are provided with certain particular services in the solution."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Government
6%
Manufacturing Company
17%
Computer Software Company
16%
Retailer
11%
Financial Services Firm
7%
 

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: January 2025.
838,713 professionals have used our research since 2012.