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Informatica Intelligent Data Management Cloud (IDMC) vs Oracle Customer Hub comparison

 

Comparison Buyer's Guide

Executive Summary

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...
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), 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)
Oracle Customer Hub
Average Rating
6.0
Number of Reviews
2
Ranking in other categories
Customer Data Integration (1st)
 

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.
it_user1174539 - PeerSpot reviewer
Enterprise Architect - Banking & Wealth at Suncorp
Its functionality and performance are adequate but it provides a single source of truth for customer data
We use it as the Master Data Management platform for a large bank in Australia which has many separate customer data repositories The intent of this platform is to provide a single source of truth for customer data. To some extent, this has been achieved. Any customer MDM project tends to be…

Quotes from Members

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

Pros

"The solution's scalability is high."
"The most valuable feature is data discovery. This is the most exciting feature for all of the banks."
"Informatica provides a comprehensive solution for on-the-fly or real-time data masking."
"The most valuable feature is the building of mockups and tasks."
"The features I find most valuable is the synchronization, verification, functionalities and all the data integration features."
"This solution allows you to easily access and make use of information that you have in your on-premises environment."
"It is a scalable product."
"Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job."
"It provides a single source of truth for customer data."
 

Cons

"I used to use this tool more but recently we have been using another tool that we feel is better because it handles spatial data. Informatica Cloud Data Quality could improve by adding the ability to handle spatial data."
"The scalability is tough."
"The tool should provide a unified user interface to manage the data objects."
"This solution is hard to set up and its interface is not user-friendly. It's also not as stable, and the technical support takes a lot of time to solve simple problems."
"It could be a bit more intuitive, rather than technically complex."
"The on-prem solution is harder to learn than the cloud-based versions."
"The solution should improve its integration."
"The UI is extremely complex"
"OCH has adequate functionality and performance to serve a group customer master."
 

Pricing and Cost Advice

"We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."
"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"Informatica MDM's price could be lower."
"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."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"We pay for a yearly subscription."
"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."
"It is expensive. That's probably the biggest drawback. The business has heartache paying the license, but that's mainly because they don't realize what value it brings. The key thing about the MDM solution is that it is in the backend, and no one sees what it is actually doing. You don't know it is a problem until it is not there."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
9%
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

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Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
CDH Customer Hub, Siebel Universal Customer Master, Siebel UCM
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Industrial Bank of Korea, Elsevier B.V., Posco, The Church Pension Group (CPG), Pella Corporation, Agilent, Zebra Technologies, Donaldson Company Inc.
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration. Updated: December 2025.
879,422 professionals have used our research since 2012.