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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
183
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (13th), Business-to-Business Middleware (4th), API Management (8th), 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 (2nd), 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 16.3%, up 14.1% compared to last year.
Oracle Customer Hub, on the other hand, focuses on Customer Data Integration, holds 50.0% mindshare.
Data Management Platforms (DMP)
Customer Data Integration
 

Featured Reviews

Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.
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

"The solution's most valuable features are its data quality, match-merge engine, and CLAIRE AI engine, which helps with AI automation."
"A great product enrichment tool."
"Able to customize data search and data sharing."
"The most valuable features of the solution are pushdown, optimization, and partitioning, which can be used for frequent data loading, especially when we have a huge data volume in our company."
"The ability to clean out data and improve the data quality is the best feature."
"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 product is scalable and excellent for enterprise-level organizations."
"The most valuable feature is data discovery. This is the most exciting feature for all of the banks."
"It provides a single source of truth for customer data."
 

Cons

"Inserting the GenAI into the master data management will reduce the overall effort of operational activities."
"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms."
"There is room for improvement in the support. The response time could be faster."
"It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."
"Compared to other tools in the market, Informatica MDM is costly."
"The stability and the integration of the solution have room for improvement."
"One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities."
"The cost of Informatica MDM is expensive and has room for improvement."
"OCH has adequate functionality and performance to serve a group customer master."
 

Pricing and Cost Advice

"Informatica is very expensive."
"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."
"The price is high, but the competitors are even higher, like Collibra."
"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
"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 an expensive solution. I would say it is the most expensive solution in the market."
"We got a 50% discount."
"Informatica Axon is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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, Oracle and others in Data Management Platforms (DMP). Updated: May 2025.
851,451 professionals have used our research since 2012.