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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
6.7
Number of Reviews
215
Ranking in other categories
Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (7th), Business-to-Business Middleware (2nd), API Management (5th), Cloud Data Integration (2nd), Data Governance (3rd), Test Data Management (2nd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (4th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
Oracle Customer Hub
Average Rating
6.0
Number of Reviews
2
Ranking in other categories
Customer Data Integration (2nd)
 

Featured Reviews

RC
Contractor at Sanlam
Cloud data catalog has streamlined lineage and quality while leaving more automation to improve
I have not explored IDMC's automation capabilities driven by AI and metadata too much at the moment, but it is on the cards. We are basically creating the foundation, as the whole migration has taken place recently and it is still early days. I think Informatica Intelligent Data Management Cloud (IDMC) is evolving, and as the vendors move forward, they pick up new concepts from each other. I have seen that products leapfrog each other, and from my experience over the years, the big players tend to copy features or add enhancements based on industry trends. I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team. It is difficult to say what additional features I would prefer to see in the next release of IDMC. I would appreciate more automation on the lineage front, with more AI to seamlessly join independent sources and create seamless lineage between different technologies, such as from file into database A into a different database and landing up in a reporting system such as Cognos, Qlik, Qlik Sense, QlikView, or Power BI.
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

"We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog."
"The support is very good."
"We can scan anything."
"I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"Having access to PIM production, we get all the details of the supplier from here and we also get to update the information on the master catalog for urgent tasks."
"Informatica is good for integrating data and cloud applications. We have connectors for integrating cloud applications like Salesforce. You can quickly integrate anything with an exposed API or a REST API. The industry is increasingly shifting to the cloud, so we need more products that can connect to cloud-based applications. The integration is seamless and works in real time. It's also secure because you don't need to expose databases or tables."
"We use parts and standardization for most of our testing. We purchase the US Postal Service address database, which is updated periodically. Many useful tools, such as Google Maps, can detect and mark new businesses or changes in business locations. Informatica captures and updates this information. Some periodic maintenance is involved, but setting it up is not overly complicated."
"The intent of this platform is to provide a single source of truth for customer data."
"It is a solid, reliable product with a robust development history and good support behind them."
 

Cons

"I have a lot of issues with their customer support and not getting the required technical information, which we actually need unless you can do a call with their senior technicians."
"We cannot sell the product directly with an additional layer."
"There is no doubt that it is very expensive, but the brand value comes at a cost."
"Most of the new features added by Informatica are through Elastic Mapping. It would be helpful to have features like multithreading or partitioning for Salesforce to enhance performance."
"Compared to other tools in the market, Informatica MDM is costly."
"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."
"The initial setup is complex. It isn't easy because it needs a separate server of its own."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"It has essentially been "frozen" by Oracle - they don't seem to be updating it any further."
"OCH has adequate functionality and performance to serve a group customer master."
"Any customer MDM project tends to be complicated and difficult to show a positive business case over a short to medium time frame."
 

Pricing and Cost Advice

"The product has a high price point."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"The product is highly-priced."
"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."
"The licensing price of the product depends on the organization's requirements."
"The price is neither too high nor too low."
"There is no doubt that it is very expensive, but the brand value comes at a cost. Other MDM solutions in the market that haven't proven themselves like Informatica are also pretty expensive. We need to understand that MDM itself is very expensive to implement. So, Informatica is also pretty expensive. I would rate it a two out of five for being pretty expensive."
"The product is very expensive"
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
11%
Construction Company
7%
Computer Software Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
No data available
 

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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, Palantir and others in Cloud Data Integration. Updated: June 2026.
900,747 professionals have used our research since 2012.