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

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 6, 2025

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 Quality
1st
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (2nd), Business Process Management (BPM) (11th), Business-to-Business Middleware (5th), 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)
SAP Data Quality Management
Ranking in Data Quality
9th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 18.7%, down from 25.0% compared to the previous year. The mindshare of SAP Data Quality Management is 4.0%, down from 6.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

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.
Rene Dorantes - PeerSpot reviewer
Scalable, stable, and offers good technical support
SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all methods to ensure that the data interface appears on the ME system and that SAP Data Quality Management records the QM results. It would be much easier if the ME system could be integrated directly with SAP Data Quality Management. What I'd like to see from SAP Data Quality Management in the future is the integration of machines on the shop floor or a feature that connects shop floor devices. I'd also like a custom dashboard in the solution, though I wonder if that's available in the new version. The old version my company uses doesn't have that. Another feature I want in the next release of SAP Data Quality Management is better communication between the ME and the SAP systems.

Quotes from Members

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

Pros

"I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar."
"The solution has multiple valuable features for metadata collection"
"The product is stable."
"The data quality component is very good."
"Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job."
"The valuable feature is metadata management. If you want to trace sensitive data, you can auto-classify them. You can search for sensitive information through EDC. Using Discovery, you can identify if there is any type of data set."
"The product seems stable enough."
"The most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services."
"We work with API standards or norms for internal applications, so it's essential for SSE to have tests and pass those tests according to the criteria, which makes SAP Data Quality Management very important for our products."
"Scalability is good."
"Our primary use case is for us to inspect the results from the product and material, and for releasing or leaving the status of the product."
 

Cons

"Informatica MDM could be improved by adding drag and drop options, business data insights, and visualization reporting."
"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"It is not easy to set up and configure the tool."
"The user interface can be a bit more functionality-aligned."
"The product isn't mature enough to provide suitable connectors to various data engines."
"Their UI needs improvement. Their scorecards and reporting also need improvement. Their data quality reporting, especially their dashboards and scorecards, is lackluster at best. Its reporting capabilities are limited. If you want to do anything beyond its limited reporting capabilities, then you're going to have to use an external reporting tool such as Power BI or something like that."
"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."
"The GUI needs to be a little more user-friendly and appealing."
"There are some limitations. They are not covering complete scenarios for all the modules."
"I would like for them to develop a feature to able to record all of our inspections; so all the data can go through SAP. It's not user-friendly or easy to get further analysis, so we mostly skip this step."
"SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all methods to ensure that the data interface appears on the ME system and that SAP Data Quality Management records the QM results. It would be much easier if the ME system could be integrated directly with SAP Data Quality Management."
 

Pricing and Cost Advice

"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
"It's a very expensive solution"
"I rate the licensing cost of Informatica MDM a five out of ten."
"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."
"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."
"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 has a high price point."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
6%
Financial Services Firm
20%
Computer Software Company
16%
Manufacturing Company
12%
Energy/Utilities Company
7%
 

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 Quality Management?
This tool itself is new. SAP Data Quality Management was brought in by SAP recently, maybe a year or two years back. We just started implementing and we still have not heard exact feedback from the...
What is your primary use case for SAP Data Quality Management?
Currently, one of our clients is seeking SAP Data Quality Management solutions, so we are exploring options in that area. The product is not mature yet, so they need to work to improve it. We are a...
What advice do you have for others considering SAP Data Quality Management?
For smaller organizations, I don't think this much is required. If it is a bigger size client from a business point of view, I definitely recommend this tool. They can use it if they are already us...
 

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
SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management
 

Overview

 

Sample Customers

The Travel Company, Carbonite
AOK Bundesverband, Surgutneftegas Open Joint Stock Company, Molson Coors Brewing Company, City of Buenos Aires, ASR Group, Citrix, EarlySense, Usha International Limited, Automotive Resources International, Wªrth Group, Takisada-Osaka Co. Ltd., Coelba, R
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. SAP Data Quality Management and other solutions. Updated: June 2025.
856,873 professionals have used our research since 2012.