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Informatica Intelligent Data Management Cloud (IDMC) vs Primeur Ghibli Next Integration Platform comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 2026

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 Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
215
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (5th), Business-to-Business Middleware (1st), API Management (9th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (2nd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (5th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
Primeur Ghibli Next Integra...
Ranking in Data Integration
104th
Average Rating
8.0
Reviews Sentiment
5.5
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.8%, down from 4.2% compared to the previous year. The mindshare of Primeur Ghibli Next Integration Platform is 0.3%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)3.8%
Primeur Ghibli Next Integration Platform0.3%
Other95.9%
Data Integration
 

Featured Reviews

RC
Contractor at Sanlam
Cloud data catalog has streamlined lineage and quality while leaving more automation to improve
I have not explored IDMC's automation capabilities driven by AI and metadata too much at the moment, but it is on the cards. We are basically creating the foundation, as the whole migration has taken place recently and it is still early days. I think Informatica Intelligent Data Management Cloud (IDMC) is evolving, and as the vendors move forward, they pick up new concepts from each other. I have seen that products leapfrog each other, and from my experience over the years, the big players tend to copy features or add enhancements based on industry trends. I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team. It is difficult to say what additional features I would prefer to see in the next release of IDMC. I would appreciate more automation on the lineage front, with more AI to seamlessly join independent sources and create seamless lineage between different technologies, such as from file into database A into a different database and landing up in a reporting system such as Cognos, Qlik, Qlik Sense, QlikView, or Power BI.
GC
Principal Solution Architect at a comms service provider with 51-200 employees
A highly scalable and flexible solution that has excellent workflows and provides fast technical support
I am satisfied with the product. The documentation is getting better. I rate the documentation a six out of ten. We use the capability of this product to use other products like IBM to move data. The solution's workflows are its best feature. The tool is workflow-based and is very useful for integration. It is a hub for our clients. It is very useful.

Quotes from Members

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

Pros

"The most valuable feature is its friendly user interface, which makes it easier to create quality shared functionalities or quality rules."
"The data quality component is very good."
"I know that there are two good features, APN and ServiceNow but we haven't explored all of its features yet."
"REST API: Excellent for scripting control and reporting mechanisms"
"The match and merge functionality is invaluable for discovering golden master data records."
"Their new licensing is very flexible. With Informatica Cloud, you have plenty of items under the same umbrella, such as services, offerings, data quality, and data masking. You have also got master data management and API management. What I really like about them is that you don't need to go to Informatica and say that you need a data integration module. You would say that you need iPaaS or Informatica Cloud. They'll then try to understand your needs and give you IPUs, which are the processing units. If I purchased a hundred IPUs from Informatica as a customer, I can use 70 IPUs for data integration. I would also need data quality, so I can use 10 IPUs for data quality. I can use the remaining 20 IPUs for API management. Down the line, if I see that my initial data integration needs for the development phase are met, then out of the 70 IPUs assigned for data integration, I can use 30 IPUs for data masking. I can shuffle these numbers in any way within the Informatica Cloud umbrella for the tenure for which I have subscribed to these IPUs. I can use all services the way I want. This flexibility is what I really love about Informatica. It also has got good connectors."
"The fuzzy matching capability is a great feature."
"I think that it's a good solution...It is stable because we have the experience to deploy this solution."
"The tool has good scalability and flexibility."
 

Cons

"There's no direct way to connect to Amazon APIs from Informatica Cloud."
"Informatica Axon does not provide complete transparency about the level of detailing you need and the logic used in ETL."
"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
"GUI is poor in IDQ"
"The downside of this solution is that the UI is terrible and not user-friendly."
"Performance also needs to be significantly improved, especially when connecting to SFDC for read and write operations."
"One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises."
"Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM."
"There are not many consultants who know the product."
 

Pricing and Cost Advice

"The price of Informatica Cloud Data Integration could be reduced."
"The solution is very expensive."
"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."
"The licenses attached to the solution are highly priced."
"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 licensing cost of Informatica MDM a five out of ten."
"Informatica Axon is expensive."
"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
"The pricing is aligned with other products."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
No data available
 

Questions from the Community

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Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
Ghibli Next Integration Platform, Primeur Ghibli Next, Ghibli Next
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Raiffeisen, SEB
Find out what your peers are saying about Informatica, Palantir, Microsoft and others in Data Integration. Updated: September 2026.
914,938 professionals have used our research since 2012.