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Informatica Intelligent Data Management Cloud (IDMC) vs Pimcore comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 11, 2025

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)
1st
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Integration (2nd), Data Quality (1st), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Data Management Platforms (DMP) (2nd), Data Masking (1st), Metadata Management (1st), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (1st), AI Data Analysis (1st)
Pimcore
Ranking in Cloud Master Data Management (MDM)
13th
Average Rating
6.0
Reviews Sentiment
5.9
Number of Reviews
1
Ranking in other categories
Digital Asset Management (18th), Master Data Management (MDM) Software (11th), Customer Data Platforms (CDP) (34th)
 

Mindshare comparison

As of January 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 21.6%, down from 32.8% compared to the previous year. The mindshare of Pimcore is 2.1%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Master Data Management (MDM) Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)21.6%
Pimcore2.1%
Other76.3%
Cloud Master Data Management (MDM)
 

Featured Reviews

Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.
reviewer2296077 - PeerSpot reviewer
Executive Director at a tech services company with 51-200 employees
The solution is easy to use, but the UI and UX must be improved
We implemented a project in the last eight months. We use the product for data transformation and e-commerce The solution is easy to use. The UI and UX must be improved. Automated data handling must be improved. I have been using the solution for six years. I am using the latest version of the…

Quotes from Members

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

Pros

"The valuable features include ease of use and quick response time with Informatica Intelligent Cloud Services; the performance and response time are notably faster."
"It is one of the best tools available for data integration."
"It's a stable product without any bugs or glitches."
"It's helpful in integration, and it can be moved around in SharePoint. So, from the SharePoint View, data integration and reporting, it help a lot in that way."
"I think the integration feature is probably one of the key features in Informatica MDM...Stability-wise, I rate the solution a ten out of ten."
"On a scale of 1-10, I rate Informatica Intelligent Data Management Cloud (IDMC) a 10 out of 10."
"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."
"The metadata management of Informatica is great."
"The solution is easy to use."
 

Cons

"Synchronicity is an area for improvement in Informatica Intelligent Cloud Services. For example, when you want real-time or immediate response from the solution when multiple technologies are involved, the integration with Informatica Intelligent Cloud isn't seamless, whether it's the MQ, JMS, or BES service, so the connectivity should be improved a bit. The data governance is good, but what's lacking is a demo. For example, if there's a new feature in Informatica Intelligent Cloud Services, the documentation for that new feature is limited, so if Informatica could give a more complete documentation and more demos, that would be better for the users. Right now, there isn't any issue with any of the features of the solution. It's the new feature awareness or user training, and improved connectivity that I'd like to see in the next version of Informatica Intelligent Cloud Services."
"The biggest challenge I see is the IDE's for the cloud and automization are different."
"Needs to implement the new workflow with simple steps and a quick visualization with a 360 view of the data."
"Some capabilities from the cloud version are not included in the on-premises version."
"I would like to see support for more data sources."
"Informatica Cloud Data Quality has significant room for improvement. It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stable."
"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."
"While my company operates on the cloud, we have seen that Informatica Cloud Data Integration has some performance issues causing it to lag."
"The UI and UX must be improved."
 

Pricing and Cost Advice

"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"Comparatively, their prices are a little bit too high."
"The licensing price of the product depends on the organization's requirements."
"The product is very expensive"
"Informatica MDM's pricetag should come down. They have to cut some costs."
"The pricing model is something that can be improved."
"Informatica MDM is a costly solution because it comes as a bundle. They are also globally positioning themselves and are definitely working on very upgraded technologies. If someone wanted to do it on the cloud, they have a lot of flexibility because they upgrade themselves according to the current needs. It definitely comes with a lot of features and that's the reason why it's costly. The licensing cost should be approximately one million dollars. It's about four to five times that of other vendors."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
11%
Computer Software Company
8%
Retailer
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
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, Address Verification, Persistent Data Masking
No data available
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Deutsche Bahn AG, Burger King, Intersport, Bösch, BuildDirect, Gogo, Ikea, GANT, Peugeot Motorcycles, Heidelberg, NextJet, Antonio Viani Importe GmbH, Deutsche Bahn AG, T-Mobile
Find out what your peers are saying about Informatica, Reltio, TIBCO and others in Cloud Master Data Management (MDM). Updated: January 2026.
881,082 professionals have used our research since 2012.