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Informatica Intelligent Data Management Cloud (IDMC) vs Oracle Data Masking and Subsetting 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...
Ranking in Data Masking
2nd
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
182
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) (1st), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
Oracle Data Masking and Sub...
Ranking in Data Masking
13th
Average Rating
7.0
Reviews Sentiment
7.1
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Data Masking category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 5.9%, down from 8.4% compared to the previous year. The mindshare of Oracle Data Masking and Subsetting is 2.2%, down from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Masking
 

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.
reviewer1164618 - PeerSpot reviewer
Stable with good support but the single-sign on could be improved
Once the data masking was complete, we were not confident that the data was good. A lot of data modeling needed to be added to make sure that the quality of the data was satisfactory. The definition phase was very slow, but that was due to a lack of knowledge that the client had. We were fortunate to locate the correct resources. Finding the correct resources on the market is a problem. We were very fortunate. Some of the issues we were experiencing were with setting up the single sign-on in the beginning. There are not a lot of templates available to use, so we had to start many things from scratch. It wasn't difficult but I would have preferred it. They may have already improved or added more, as it's been a year from when we needed it. Generally speaking, I would like to see more templates available.

Quotes from Members

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

Pros

"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."
"Some of Axon's valuable features include creating your business glossaries, importing DQ rules, and creating change management."
"It is one of the best tools available for data integration."
"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"The solution is stable."
"The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."
"The solution is easier to use compared to the other solutions."
"The solution's most valuable features are its data quality, match-merge engine, and CLAIRE AI engine, which helps with AI automation."
"This solution delivers the value that it is supposed to deliver."
 

Cons

"It is not easy to set up and configure the tool."
"The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price."
"The main issue probably has nothing to do with end users, but installation can definitely be simplified."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
"One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities."
"Certain shortcomings in the product's UI make it an area where improvements are required."
"There are various areas for improvement in IDMC. Enhancements on the UI front, such as multiple templates and improved grid views, would be beneficial."
"The customer servive and support could be faster. There is a slow turnaround."
"There are not a lot of templates available to use, so we had to start many things from scratch."
 

Pricing and Cost Advice

"We got a 50% discount."
"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."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"So, there are plans for licensing. There are subscription-based and usage-based licenses. Also, there are licenses for exceptional analytics, etc. In short, there are different models of licensing for every enterprise."
"Informatica Axon is expensive."
"I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."
"I have heard from customers that the product comes with a huge license cost."
"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
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
Oracle Data Masking and Subsetting Pack
 

Overview

 

Sample Customers

The Travel Company, Carbonite
IBVI, illycaffe, Scottish water, trueblue, AirAsia
Find out what your peers are saying about Perforce, Informatica, Broadcom and others in Data Masking. Updated: March 2025.
850,028 professionals have used our research since 2012.