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

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 2026

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) (5th), Business-to-Business Middleware (2nd), 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 (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)
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 March 2026, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 9.8%, down from 19.5% compared to the previous year. The mindshare of SAP Data Quality Management is 3.4%, down from 4.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)9.8%
SAP Data Quality Management3.4%
Other86.8%
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 user interface is flexible and the visibility of the data flow is amazing."
"There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data."
"The product seems stable enough."
"Informatica Intelligent Cloud Services allows us to manage the entire data lifecycle in the insurance domain, supporting microservices architecture and leveraging AI and machine learning for data discovery, quality, and integration."
"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."
"We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"Axon does one interesting thing that I don't think other tools do as well. It lets you rate data and incorporates Informatica's data quality feature into it. There are little indications and graphics that show you how good the data quality is, and you can drill into it to see where potential issues lie."
"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

"Its cloud-based version has a few limitations compared to the on-premise version."
"One thing Informatica could improve is the way IPUs are used. Each customer purchases a certain amount of IPUs per month, but you can use more or less than that defined quantity. The only problem is if you don't use the all your IPUs, they don't carry over into the next month. I think customers should have the ability to transfer unused IPUs into the next month or year. This improvement could help give customers more flexibility, especially since cloud solutions need flexibility in how we use and pay for them."
"I have encountered some issues using the substitution, which is one of the techniques of data masking."
"One area that needs to improve is the user experience because it is very complex. The trial version is very complex so it's not easy to start using the program immediately. You must study the rules first."
"The integration with older technology and cloud quality needs improvement."
"I definitely will not recommend Informatica Cloud Data Quality because it's very hard to manage the licensing model and the price is very high."
"We'd like to see the microservices, which don't run yet because the solution is not yet fully cloud-based."
"It is complicated to establish the lineage in EDC using PowerCenter mappings."
"There are some limitations. They are not covering complete scenarios for all the modules."
"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."
"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."
 

Pricing and Cost Advice

"The solution is expensive."
"The licenses attached to the solution are highly priced."
"It is an expensive solution. I would say it is the most expensive solution in the market."
"Informatica Axon is expensive."
"A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap."
"The pricing is high compared to other tools on the market."
"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."
"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
14%
Manufacturing Company
11%
Computer Software Company
7%
Retailer
7%
Manufacturing Company
15%
Financial Services Firm
6%
Transportation Company
6%
Government
5%
 

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: March 2026.
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