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

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

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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

185

Ranking in other categories

Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (10th), Business-to-Business Middleware (5th), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Data Management Platforms (DMP) (2nd), Data Masking (1st), 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

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Cloud Master Data Management (MDM) Solutions category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 24.7%, down from 34.0% compared to the previous year. The mindshare of Stibo STEP MDM is 8.1%, up from 7.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Master Data Management (MDM) Solutions Market Share Distribution
Product	Market Share (%)
Informatica Intelligent Data Management Cloud (IDMC)	24.7%
Stibo STEP MDM	8.1%
Other	67.2%

Cloud Master Data Management (MDM) Solutions

Featured Reviews

SaurabhGaonshindhe

Principle Cloud Engineer at Sector 125

Modular structure and AI features stream new reporting processes

One of my clients has a requirement; they want to integrate metadata into the process, which means, for example, if I just want to implement a new field into my database, that field needs to be reflected throughout, let's say, 200 mappings. This highlights the need for a data-driven approach. My experience with technical support from Informatica is quite interesting; I would rate it as nine out of ten for Informatica PowerCenter kind of products or the Informatica integration products, because my team can do some hands-on using their free licenses or one-month kind of products. However, for products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.

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RahulSoni

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.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It is a very stable solution...It is a scalable solution."

"I rate the technical support a ten out of ten."

"Informatica Cloud Data Integration is stable."

"I know that there are two good features, APN and ServiceNow but we haven't explored all of its features yet."

"I like that Informatica MDM has robust matching technology. Informatica MDM is also porting the external Java applications for validations. I can consider that a must-have. It is also exposed to Rest API calls, and we can engage in real-time integrations with any third-party systems."

"The most valuable features of the solution are pushdown, optimization, and partitioning, which can be used for frequent data loading, especially when we have a huge data volume in our company."

"Data synchronization tasks."

"I definitely would recommend the Informatica solution to other people."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"It's very user friendly, and we can do everything in one place."

"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 match engine is very good and the BPM solution is very good as well."

"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."

Cons

"The error information provided is not informative, as compared to Power Center."

"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."

"There are various areas for improvement in IDMC. Enhancements on the UI front, such as multiple templates and improved grid views, would be beneficial."

"The configurations could be better. It is a bit confusing because we must develop two tools when building a data model in Informatica MDM. Even though Informatica MDM is a single tool, we have our hub console plus the provisioning tool within that. Whatever data model we are building in the hub console, we have to develop it in the provisioning tool again. It is double the work to create a data model. We are also using external calls or the Java custom plans functions. This can be both positive and negative. Since MDM as a client does not support any complex validation, we have to depend on the external call or a Java call. Every time we deployed, the entire solution was impacted if something went wrong."

"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."

"The data discovery isn't that good yet for Salesforce. We have another tool that we use for this. It may be a problem because Salesforce on the cloud."

"If I compare it with other MDM solutions in the market, one thing that can definitely be improved is automation to help with the configuration. Currently, when we are creating any staging of base object tables, all the columns have to be configured manually in the Informatica Hub Console. A lot of tables and different kinds of business columns have to be configured manually. There should be an automated process for this, especially in the Dev environment. When people are creating tables and columns from scratch, if there is a backend automated process for that, it would be really helpful. In Stibo, a similar feature is there wherein you can tag attributes to certain objects. It would be helpful if Informatica also provides a similar option. It would reduce the manual effort. It could be that such a feature is already there, but I am not aware of it."

"The integration could be a bit better. The process is something new."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"The customer service and support were a little adamant about giving workarounds rather than accepting that something was not working correctly."

"The initial setup is complex."

"The search feature for searching internal records could be improved."

"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."

Pricing and Cost Advice

"Informatica MDM's pricetag should come down. They have to cut some costs."

"I rate the product's pricing a nine on a scale of one to ten, where one is low price, and ten is high price."

"I rate the product's price a seven on a scale of one to ten, where one is the cheapest and ten is the most expensive. The product is a bit expensive."

"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."

"The pricing is high compared to other tools on the market."

"The pricing is quite flexible."

"It's offers value for money. They're more competitive with respect to pricing and offerings."

"The product is highly-priced."

More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

10%

Manufacturing Company

10%

Insurance Company

Manufacturing Company

19%

Computer Software Company

12%

Retailer

10%

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	42
Midsize Enterprise	24
Large Enterprise	134

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 is your experience regarding pricing and costs for Stibo STEP MDM?

Price-wise, it's cheaper than Informatica.

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.

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Product Reports

Informatica Intelligent Data Management Cloud (IDMC)

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Informatica Intelligent Data Management Cloud (IDMC) report

Stibo STEP MDM

Download Stibo STEP MDM product report

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

Informatica Intelligent Data Management Cloud (IDMC) integrates data quality, governance, and integration with flexible architecture. It supports multiple domains and a data models repository, delivering AI-enhanced data management across cloud-native platforms.

IDMC provides seamless integration and governance capabilities that support diverse data environments. Its comprehensive suite includes customizable workflows, data profiling, and metadata management. AI features, a data marketplace, and performance scalability enhance data management. While its interface poses challenges, its robust matching and cloud-native integration facilities are essential for complex data ecosystems. Users employ IDMC for connecting systems, ensuring data quality, and supporting data compliance but seek better pre-built rules, services, and improved connectivity, especially with platforms like Salesforce. Licensing, cost, and added AI functionalities are areas for potential refinement.

What are the key features of IDMC?

Data Quality and Integration: Seamless integration ensures data accuracy across platforms.
Metadata Management: Comprehensive metadata management supports data governance.
AI Capabilities: AI features enhance automation and decision-making processes.
Data Marketplace: Facilitates easy access to data across the organization.
Performance Scalability: Scales performance efficiently to meet growing data demands.

What benefits should be expected from IDMC?

Enhanced Data Management: Offers robust tools for data governance and quality.
Improved Integration: Connects disparate systems seamlessly, reducing data silos.
Cost Efficiency: Streamlines data processes, potentially reducing operational costs.
Data Compliance: Supports compliance with data privacy regulations.
Agility and Scalability: Adapts quickly to changing data environments.

IDMC is implemented across industries for data integration, metadata management, and governance. Organizations use it to connect systems, migrate data to cloud environments, and maintain data quality. They manage master data and automate business processes, facilitating data lineage and ensuring compliance with privacy regulations.

Informatica

STEP is a Multidomain Master Data Management platform that integrates multiple disparate systems in your company by streamlining the process of aggregating and consolidating information around your products, customers, suppliers, employees, assets, location and reference data from multiple sources and formats, connecting that information to derive actionable insights, and publishing that information to backend systems and/or to online and offline channels.

Stibo Systems

Sample Customers

The Travel Company, Carbonite

Sears Canada, Best Buy, Oriental Trading

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