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Informatica Intelligent Data Management Cloud (IDMC) vs Profisee 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 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) (6th), Business-to-Business Middleware (2nd), API Management (7th), 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) (3rd), 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 August 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 19.0%, down from 26.8% compared to the previous year. The mindshare of Profisee is 6.3%, down from 8.0% 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)19.0%
Profisee6.3%
Other74.7%
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

"We reduced product data setup time from 1.5 hours to 30 minutes."
"The solution is stable."
"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"The process of using the tool's scalability option is well documented."
"The most valuable feature of Informatica Intelligent Cloud Services for me is the availability of connectors."
"The data quality component is very good."
"It is a highly scalable solution."
"The reusability factors are nice. The Cloud Data Quality is much better. A major flaw in the previous version was integration with the catalog, which is now seamless."
"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."
"The process of categorizing data, creating glossaries, and generating metadata is streamlined and less time-consuming."
"The product is able to utilize the SQL server toolkit and it has tight integration with the SQL server."
"Profisee's customer service is very responsive, and they have a comprehensive training academy, Profisee Academy, that helps guide the implementation process."
"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."
"We really like the matching and merging features."
"The most valuable features for ensuring data accuracy and quality are mappings and creating business rules."
 

Cons

"We currently have issues with real-time integration."
"The initial setup is very, very difficult."
"A general improvement in icons and the virtual interface would be good."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
"Its features for partitioning and optimization could be better."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"I think they should work really hard on UI."
"Needs to implement the new workflow with simple steps and a quick visualization with a 360 view of the data."
"When we updated to version 7.1, there were some workflow issues."
"Some security complexities might add time to the setup."
"The way training is laid out in their Profisee University, makes it really, really hard to find what you need fast."
"Profisee could improve in providing clearer data lineage information."
"A more convenient approach would involve integrating all the pre-existing elements into Profisee itself."
 

Pricing and Cost Advice

"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"The licensing price of the product depends on the organization's requirements."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"it's expensive, but if you're looking for a stable solution, Informatica MDM is a good one to choose."
"The price is high, but the competitors are even higher, like Collibra."
"The solution is expensive."
"We have licenses, and we are provided with certain particular services in the solution."
"We didn't come across any additional licensing fees."
"The pricing is moderate, falling in the middle range—not excessively low nor overly expensive."
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908,858 professionals have used our research since 2012.
 

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%
Construction Company
9%
Outsourcing Company
6%
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: June 2026.
908,858 professionals have used our research since 2012.