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Data Hub vs Informatica Intelligent Data Management Cloud (IDMC) 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

Data Hub
Ranking in Metadata Management
7th
Average Rating
9.4
Reviews Sentiment
2.2
Number of Reviews
3
Ranking in other categories
AI Observability (12th)
Informatica Intelligent Dat...
Ranking in Metadata Management
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), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (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)
 

Featured Reviews

reviewer2784462 - PeerSpot reviewer
Software Engineer at a tech vendor with 10,001+ employees
Centralized metadata has empowered governed data discovery and clarified ownership for all teams
The impact is very positive, and there are many benefits for us using Data Hub because it was easier to make data governance, create centralized metadata management, improve data discoverability, and manage data in general. The areas for improvement, in my opinion, are the initial setup and configuration that can be complex without prior experience, especially in large-scale environments. User experience for non-technical users could be further simplified, particularly around advanced metadata concepts. The out-of-the-box governance workflow, for example, approvals and certification, could be more prescriptive for customers at early maturity stages. Data Hub can be improved in the initial setup and configuration that is somewhat complex, and also in operational monitoring that could benefit from more native dashboards and alerts. However, these are not blockers, but areas where additional guidance or product enhancement would further accelerate adoption.
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.

Quotes from Members

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

Pros

"Data Hub proved to be a robust, scalable, enterprise-ready data catalog that is well-suited for AWS-based architecture and complex organizational environments."
"New tools are coming out that will enable you to achieve 90 percent of use cases with the out-of-the-box configuration, but I would like to keep Informatica tight here. Otherwise, you need a Java user edit course and other things to do multiple things that you cannot configure out of the box. They have to go through those use cases to do something if those can also be configured rather than coded."
"It is a scalable product."
"​The tool manually checks on applying business rules and helps to implement them."
"The ability to clean out data and improve the data quality is the best feature."
"The best part about the Informatica Intelligent Data Management Cloud (IDMC) is the modularity; when I say modularity, I mean the things get easier by working into different modules."
"The program is stable and scalable."
"The support is very good."
"The solution's technical support is pretty good, especially since the turnaround time is good."
 

Cons

"The areas for improvement, in my opinion, are the initial setup and configuration that can be complex without prior experience, especially in large-scale environments."
"The cloud version of Informatica, although easier and more advanced than PowerCenter, still requires a deep dive to fix bugs."
"The integration process is not easy."
"The current features are a bit complicated, and we need to write big scripts and test."
"In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition."
"Though EDC has maximum coverage, a few things were not available to scan, but I think EDC is evolving to address this issue."
"We cannot sell the product directly with an additional layer."
"I would like to have the solution in one product and technical support needs to be better."
"New machine learning could be added to Informatica MDM because the solution is outdated and is not moving with the current trends. The solution is good, but it definitely needs a lot of improvement and needs to speed up as per the market."
 

Pricing and Cost Advice

Information not available
"Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."
"We got a 50% discount."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"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's pricing is not cheap but comparable to other vendors."
"You can purchase licenses for this solution at different intervals. For example, annually or every three years. They recently changed their terms for licensing and now it is more flexible."
"Comparatively, their prices are a little bit too high."
"Informatica Axon is expensive."
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Top Industries

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

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
 

Questions from the Community

What needs improvement with Data Hub?
The impact is very positive, and there are many benefits for us using Data Hub because it was easier to make data governance, create centralized metadata management, improve data discoverability, a...
What is your primary use case for Data Hub?
We adopted Data Hub in the context of a large enterprise customer operating in a regulated industry with a strong focus on data governance, data discoverability, and ownership clarity across multip...
What advice do you have for others considering Data Hub?
Based on internal measurement and feedback from the data teams, there are many impacts. Time to locate and understand a data set was reduced by approximately 40-50 percent. Manual documentation eff...
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 ...
 

Also Known As

Acryl Data
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

Information Not Available
The Travel Company, Carbonite
Find out what your peers are saying about Data Hub vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.