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Informatica Intelligent Data Management Cloud (IDMC) vs Profisee comparison

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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 Cloud Master Data Management (MDM)
1st
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
215
Ranking in other categories
Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (5th), Business-to-Business Middleware (1st), API Management (9th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (2nd), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (5th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
Profisee
Ranking in Cloud Master Data Management (MDM)
9th
Average Rating
8.0
Reviews Sentiment
8.4
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 18.4%, down from 25.9% compared to the previous year. The mindshare of Profisee is 6.2%, down from 7.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Master Data Management (MDM) Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)18.4%
Profisee6.2%
Other75.4%
Cloud Master Data Management (MDM)
 

Featured Reviews

RC
Contractor at Sanlam
Cloud data catalog has streamlined lineage and quality while leaving more automation to improve
I have not explored IDMC's automation capabilities driven by AI and metadata too much at the moment, but it is on the cards. We are basically creating the foundation, as the whole migration has taken place recently and it is still early days. I think Informatica Intelligent Data Management Cloud (IDMC) is evolving, and as the vendors move forward, they pick up new concepts from each other. I have seen that products leapfrog each other, and from my experience over the years, the big players tend to copy features or add enhancements based on industry trends. I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team. It is difficult to say what additional features I would prefer to see in the next release of IDMC. I would appreciate more automation on the lineage front, with more AI to seamlessly join independent sources and create seamless lineage between different technologies, such as from file into database A into a different database and landing up in a reporting system such as Cognos, Qlik, Qlik Sense, QlikView, or Power BI.
reviewer2584719 - PeerSpot reviewer
MDM Lead at a financial services firm with 5,001-10,000 employees
Unlocks efficient data mastering with custom interfaces and upcoming integrations
We use Profisee for mastering data between multiple systems like ERP and CRM within our company The product helps us by allowing us to bring data in from any system that we need, master it, and deliver clean records for data and analytics. Profisee's ability to master data using the Goldstein…

Quotes from Members

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

Pros

"What I do appreciate about the cloud is the transparent update cycles with minimal downtime, all managed within the cloud environment, which definitely provides a better user experience."
"I would definitely recommend Informatica Data Quality to others."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"The OAuth feature is the most valuable feature for authentication."
"It comes with lot of features and is a one-stop-shop solution for integration, data modeling, and data governance."
"With my firm, our use of Informatica Cloud is primarily to implement a set of financial integrations from various accounting systems into a Salesforce environment, and by leveraging Informatica Cloud Mapping Designer, we were able to create sets of reusable templates that were source agnostic, making supporting the integration for hundreds of customers feasible with just a small team of integration specialists."
"Their new licensing is very flexible. With Informatica Cloud, you have plenty of items under the same umbrella, such as services, offerings, data quality, and data masking. You have also got master data management and API management. What I really like about them is that you don't need to go to Informatica and say that you need a data integration module. You would say that you need iPaaS or Informatica Cloud. They'll then try to understand your needs and give you IPUs, which are the processing units. If I purchased a hundred IPUs from Informatica as a customer, I can use 70 IPUs for data integration. I would also need data quality, so I can use 10 IPUs for data quality. I can use the remaining 20 IPUs for API management. Down the line, if I see that my initial data integration needs for the development phase are met, then out of the 70 IPUs assigned for data integration, I can use 30 IPUs for data masking. I can shuffle these numbers in any way within the Informatica Cloud umbrella for the tenure for which I have subscribed to these IPUs. I can use all services the way I want. This flexibility is what I really love about Informatica. It also has got good connectors."
"The process of categorizing data, creating glossaries, and generating metadata is streamlined and less time-consuming."
"The most valuable features for ensuring data accuracy and quality are mappings and creating business rules."
"Profisee is an all-in-one tool; all you need to do is plug in your data points from various data sources and you are good to go."
"The client is doing really well; in fact, they've been published in several IT magazines for their efforts, and also for their data cleansing efforts and their data stewardship."
"Profisee's customer service is very responsive, and they have a comprehensive training academy, Profisee Academy, that helps guide the implementation process."
"We really like the matching and merging features."
"The product is able to utilize the SQL server toolkit and it has tight integration with the SQL server."
 

Cons

"One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities."
"Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria."
"There is no doubt that it is very expensive, but the brand value comes at a cost."
"Interoperability is one area where EDC has room for improvement."
"Database access is highly restricted with PIM."
"Data integration should be improved."
"It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen."
"Informatica Axon does not provide complete transparency about the level of detailing you need and the logic used in ETL."
"Some security complexities might add time to the setup."
"When we updated to version 7.1, there were some workflow issues."
"The way training is laid out in their Profisee University, makes it really, really hard to find what you need fast."
"A more convenient approach would involve integrating all the pre-existing elements into Profisee itself."
"Profisee could improve in providing clearer data lineage information."
 

Pricing and Cost Advice

"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"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."
"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."
"Informatica MDM's price could be lower."
"The price is high, but the competitors are even higher, like Collibra."
"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 product is not very pocket-friendly for small and medium-sized businesses, and it is understandable because of the kind of features the tool gives."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"The pricing is moderate, falling in the middle range—not excessively low nor overly expensive."
"We didn't come across any additional licensing fees."
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Answers from the Community

RT
Information Architect at Canadian Food Inspection Agency
Feb 7, 2022
Feb 7, 2022
Hi @Richard Tibbetts, There's no short answer to your question. Nearly all existing MDM solutions on the market offer a broad range of patterns to ingest master data from various sources and distribute cleanse and consolidated information, also to the Azure stack. Many vendors offer prebuilt connectors for the most common sources (databases, various file types, storages, business applications i...
2 out of 3 answers
InitZero - PeerSpot reviewer
Enterprise MDM Architect / Solution Arch at Volvo Group
Jan 14, 2022
Hi @Richard Tibbetts, There's no short answer to your question. Nearly all existing MDM solutions on the market offer a broad range of patterns to ingest master data from various sources and distribute cleanse and consolidated information, also to the Azure stack. Many vendors offer prebuilt connectors for the most common sources (databases, various file types, storages, business applications including MS Dynamics, Salesforce, etc.), but also support a generic way of ingesting/exposing data via Rest APIs, file drops, etc. MS MDS is an extension of the MS SQL server 2016. I don't know Microsoft plans to extend it, but I know that Profisee and CluedIn are very active in promoting their solutions as-built having Azure in mind and being a part of the stack. Informatica MDM has three types of offerings these days: on-prem, hosted MDM, and cloud-native option - they differ in the functionality and integration options. Obviously, there are many more MDM tools on the market particularly good in various data domains (products, customers/suppliers - so yours, multi-domain, etc). I think that you should start your MDM journey by answering which current challenges you try to solve or what new capabilities you need to enable to the organisation. Once these questions are answered and based on your organization's Enterprise Architecture principles, look for the best fitting tool. It may (or may not) be the one that fits the best into the Azure Reference Architecture. I hope this helped.
GM
Data Architect at World Vision
Feb 4, 2022
I agree with @InitZero...  I would add that there's no future roadmap for MDS and they don't have an Azure solution for it.  Since it's a free product with an SQL license, don't expect Microsoft to invest in it.   Even though we are highly dependent upon it currently I'm starting to look towards the future where we need to find a replacement - hopefully, a PaaS solution. It would be great if Microsoft came out with something in Azure but I'm not hopeful at this point.
 

Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
Manufacturing Company
16%
Healthcare Company
9%
Financial Services Firm
9%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
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 Profisee?
Profisee is making improvements for the year 2024, including integrating directly with other solutions.
What is your primary use case for Profisee?
We use Profisee for mastering data between multiple systems like ERP and CRM within our company.
 

Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
No data available
 

Overview

 

Sample Customers

The Travel Company, Carbonite
NASDAQ, Rockwell Automation, ITT Industries, EY (Ernst & Young), Domino's, L3 Communications, Anheuser Busch, MD Anderson Cancer Center, Ameriprise Financial, GSO Capital Partners
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Profisee and other solutions. Updated: September 2026.
915,287 professionals have used our research since 2012.