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

 

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) (7th), Business-to-Business Middleware (2nd), API Management (5th), Cloud Data Integration (2nd), 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) (4th), 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 June 2026, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.7%, down from 4.6% compared to the previous year. The mindshare of Primeur Ghibli Next Integration Platform is 0.3%, up from 0.0% 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)3.7%
Primeur Ghibli Next Integration Platform0.3%
Other96.0%
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

"This product is the most agile way to use all of the data capabilities and data services that you need to exploit in your company."
"The program is stable and scalable."
"The ability to clean out data and improve the data quality is the best feature."
"I give the stability a ten out of ten."
"Regarding the features, the dashboards related to data quality profiling are the most powerful tool that we are using, and the integration between EDC and the data quality is very important."
"The solution allows the complete governance process, starting from the data quality, those definitions, and it can get the data quality in the EDC."
"I rate the solution's scalability a ten out of ten."
"I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward."
"The tool has good scalability and flexibility."
 

Cons

"The ability of the product to leverage the power of big data could be improved."
"I think the price modeling could be improved."
"With limited data it's fine, but with a large volume the scalability is questionable, the threshold of data transaction is different."
"Performance issues can be looked at Improved release documentation is expected because I feel that the current release document doesn't give you the clear picture of what has been fixed and what has not been fixed from previous versions."
"Informatica Axon does not provide complete transparency about the level of detailing you need and the logic used in ETL."
"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."
"When errors arise, contacting support can be frustrating."
"I would like to see support for more data sources."
"There are not many consultants who know the product."
 

Pricing and Cost Advice

"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."
"It's a costly solution"
"The licensing price of the product depends on the organization's requirements."
"Its pricing model can be improved."
"The pricing model is something that can be improved."
"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"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."
"It's a very expensive solution"
"The pricing is aligned with other products."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
11%
Construction Company
7%
Computer Software Company
6%
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, Microsoft, Palantir and others in Data Integration. Updated: June 2026.
902,588 professionals have used our research since 2012.