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

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 11, 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
214
Ranking in other categories
Data Integration (2nd), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (1st), Metadata Management (1st), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (1st), AI Data Analysis (1st)
SAP Data Quality Management
Ranking in Data Quality
8th
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 January 2026, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 10.6%, down from 20.0% compared to the previous year. The mindshare of SAP Data Quality Management is 3.3%, down from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)10.6%
SAP Data Quality Management3.3%
Other86.1%
Data Quality
 

Featured Reviews

Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.
VB
Director at Norderia
Embrace efficient data management with integrated features but anticipate some enhancement needs
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 client. It would not be correct if I give feedback now because I don't have accurate feedback from client usage. I feel it is a good tool with some limitations. We compared it with Celonis, which is also one of the other tools in the market. I am more into SAP and S4 HANA, so I am not familiar with all the best tools available in Data Quality Management which can be compatible with SAP. We know there are issues with SAP Data Quality Management. The advantage of this tool that SAP brought is that it is already in-built. You don't need to build another application layer on top of the existing one. The compatibility and response time for these applications within the same database is faster.

Quotes from Members

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

Pros

"The application integration will give you more flexibility when dealing with APIs."
"The Provisioning tool is something that is really handy for everyone. It is my pick as the best feature."
"The mass ingestion functionality and the elasticity of the solution are great."
"Informatica provides a comprehensive solution for on-the-fly or real-time data masking."
"The fuzzy matching capability is a great 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 user interface which is very easy to use if we have any problems to solve."
"The solution is stable."
"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."
"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."
 

Cons

"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."
"There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."
"The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price."
"Informatica Axon needs to improve its interface."
"There's definitely room for improvement in terms of user-friendliness. One example is that you can't search for jobs directly by file name. You can only search by job name. So, if you want to find a job that works with a specific file, you have to go through each job individually to find the right one. So, I'd like to see a faster search, one where I can search directly by file name."
"In terms of data volume processing, Intelligent Cloud Services does not match the efficiency of Power Center."
"I would rate my experience with the initial setup a two out of ten, with one being difficult and ten being easy."
"The scalability is tough."
"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."
"There are some limitations. They are not covering complete scenarios for all the modules."
 

Pricing and Cost Advice

"I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."
"We are quite happy with the licensing model."
"The solution is expensive."
"Informatica 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 licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"The solution's pricing model is easy, but it is very expensive."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
9%
Retailer
7%
Manufacturing Company
17%
Computer Software Company
8%
Retailer
6%
Financial Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
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, Address Verification, Persistent Data Masking
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: December 2025.
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