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Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Governance comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 3, 2024

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 Governance
2nd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (4th), Data Quality (1st), Business Process Management (BPM) (9th), Business-to-Business Middleware (5th), API Management (7th), Cloud Data Integration (3rd), 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)
SAP Data Governance
Ranking in Data Governance
23rd
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Data Governance category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 6.0%, down from 8.5% compared to the previous year. The mindshare of SAP Data Governance is 0.8%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance
 

Featured Reviews

Saikat Ghosh - PeerSpot reviewer
Match and merge functionality is still the best but cloud version needs more functionality
There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM. The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.
VM
A robust solution that establishes rules, policies, and procedures
The solution is used in Life Cycle Data Management where it can be stored in cheaper storage options like Amazon and OpenShift. It has helped with data retention It is robust solution.  SAP should come up with specialized services as per their customer's requirements. I have experience with SAP…

Quotes from Members

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

Pros

"The scalability is very high."
"Performance and flexibility-wise, they're very user-friendly."
"Some of Axon's valuable features include creating your business glossaries, importing DQ rules, and creating change management."
"The match and merge functionality is invaluable for discovering golden master data records."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"It allows the creation of identical tasks that can be applied across multiple tables, ranging from 100 to even 1,000 tables."
"It has flexibility in extending the data model."
"It is a scalable product."
"The new workflow engine is based on the web app rather than the Java-based approach."
"It is robust solution."
 

Cons

"They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."
"The product interface could be improved to be more intuitive."
"The user interface of the product needs to be improved"
"Informatica's support understands the solution, but they lack the experience we need for our use case. That was one thing that we prioritized when we started searching for this kind of solution."
"Its look and feel needs improvement. It has a lousy look and feel. Informatica PIM is designed specifically for the retail industry. They need to make sure that it is also applicable to all the other industries and verticals."
"The advertising makes promises about data analytics that it does not keep."
"New machine learning could be added to Informatica MDM because the solution is outdated and is not moving with the current trends. The solution is good, but it definitely needs a lot of improvement and needs to speed up as per the market."
"There's no direct way to connect to Amazon APIs from Informatica Cloud."
"I would like to see harmonizing with some of the external third-party products so that it will all be within SAP."
"SAP should come up with specialized services as per their customer's requirements."
 

Pricing and Cost Advice

"The platform has a premium cost. I rate the pricing as seven out of ten."
"The solution is very expensive."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."
"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."
"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."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
11%
Manufacturing Company
10%
Insurance Company
7%
Manufacturing Company
18%
Retailer
13%
Computer Software Company
13%
Financial Services Firm
9%
 

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 ...
What needs improvement with SAP Data Governance?
SAP should come up with specialized services as per their customer's requirements.
What is your primary use case for SAP Data Governance?
The solution is used in Life Cycle Data Management where it can be stored in cheaper storage options like Amazon and OpenShift. It has helped with data retention.
 

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
No data available
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Takisada-Osaka Co. Ltd., The VELUX Group, Asian Paints, AOK Bundesverband, EMC Corporation
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. SAP Data Governance and other solutions. Updated: July 2025.
865,140 professionals have used our research since 2012.