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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
186
Ranking in other categories
Data Integration (4th), Data Quality (1st), Business Process Management (BPM) (11th), Business-to-Business Middleware (6th), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (1st), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
Oracle Customer Hub
Average Rating
6.0
Number of Reviews
2
Ranking in other categories
Customer Data Integration (1st)
 

Mindshare comparison

While both are Customer Relationship Management solutions, they serve different purposes. Informatica Intelligent Data Management Cloud (IDMC) is designed for Data Management Platforms (DMP) and holds a mindshare of 14.1%, up 13.3% compared to last year.
Oracle Customer Hub, on the other hand, focuses on Customer Data Integration, holds 47.7% mindshare, down 50.0% since last year.
Data Management Platforms (DMP) Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)14.1%
Palantir Foundry25.9%
Adobe Audience Manager6.2%
Other53.8%
Data Management Platforms (DMP)
Customer Data Integration Market Share Distribution
ProductMarket Share (%)
Oracle Customer Hub47.7%
Equifax Customer Data Integration45.5%
Amperity6.8%
Customer Data Integration
 

Featured Reviews

SaurabhGaonshindhe - PeerSpot reviewer
Modular structure and AI features stream new reporting processes
One of my clients has a requirement; they want to integrate metadata into the process, which means, for example, if I just want to implement a new field into my database, that field needs to be reflected throughout, let's say, 200 mappings. This highlights the need for a data-driven approach. My experience with technical support from Informatica is quite interesting; I would rate it as nine out of ten for Informatica PowerCenter kind of products or the Informatica integration products, because my team can do some hands-on using their free licenses or one-month kind of products. However, for products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.
AM
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

"It's good for tool management, maintaining the golden record of customer status."
"Whether we need data cleansing or data mastering, we get it all in one platform."
"The most valuable feature is data discovery. This is the most exciting feature for all of the banks."
"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."
"The most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services."
"I think that it's a good solution...It is stable because we have the experience to deploy this solution."
"Address Doctor gives an accurate combination of information provided with a level of returned threshold value."
"The most valuable features of Informatica MDM are its reliability, match functions, and integration capabilities. The out-of-box functionality of deduplication and built-in data models ensure faster implementation."
"It provides a single source of truth for customer data."
 

Cons

"The tool's performance is an area that should be given further consideration."
"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 would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."
"They could improve technical support because it is not good enough at the moment."
"Database access is highly restricted particularly if you're using the cloud version."
"This is a costly solution. We have several customers who evaluate it but then look for other solutions because of the cost. At present, Informatica MDM comes as an on-premises or cloud-based solution. I would like to see them offer a SaaS-based MDM model. I think they are working on it."
"The solution still is a bit manual in its functionality. We want t to be more automation-driven."
"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."
"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."
"The solution is very expensive."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."
"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."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"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's a costly solution"
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
10%
Manufacturing Company
10%
Insurance Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise24
Large Enterprise134
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, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
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 Palantir, Informatica, Cohesity and others in Data Management Platforms (DMP). Updated: August 2025.
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