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Atlan vs Informatica Intelligent Data Management Cloud (IDMC) 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

Atlan
Ranking in Data Governance
12th
Ranking in Metadata Management
4th
Average Rating
8.4
Reviews Sentiment
5.8
Number of Reviews
10
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Data Governance
3rd
Ranking in Metadata Management
2nd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (8th), Business-to-Business Middleware (2nd), API Management (5th), Cloud Data Integration (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Integration Platform as a Service (iPaaS) (4th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (1st), AI Data Analysis (1st)
 

Mindshare comparison

As of May 2026, in the Data Governance category, the mindshare of Atlan is 2.0%, up from 1.8% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 5.3%, down from 8.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)5.3%
Atlan2.0%
Other92.7%
Data Governance
 

Featured Reviews

Peter Neumann - PeerSpot reviewer
IT consultant at Pathfinder
Has struggled to meet business needs but supports technical data exploration and transparency
Atlan can be improved by concentrating more on business data since it is developed from developers for developers, and it needs to be more business relevant. For instance, when re-importing data model diagrams, Atlan provides some diagram automation that is not connected to the business glossary, which I consider a significant fault. Atlan needs to improve by focusing more on the business side of data, not only on technical aspects.If you want to focus on technical considerations, it would be beneficial to have an interface with a real business data modeling tool such as Erwin or other business data tools, since data modeling is not the same as Draw.io. Additionally, Atlan can improve its workflows, which are hard to understand. Working with templates, Excel import, export, and running automations is not self-explanatory, and you always need help from Atlan support team. If business people want to use it and run their own reports, it must be easier to customize for their business needs.
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.

Quotes from Members

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

Pros

"The AI part is integrated for enriching metadata engagement, making it a comprehensive tool."
"By switching to Atlan, we have increased our productivity and saved a lot of business time through automation."
"Overall, I rate Atlan a nine out of ten."
"They also offer automated lineage embedded in the connectors, allowing us to track where the data is coming from and where it's going. We find it very efficient in cataloging data sources. Additionally, the user-friendly interface is a big plus, making it easy for users to familiarize themselves with the solution. These two features, in my opinion, stand out the most."
"Overall, I rate Atlan as a ten out of ten."
"As a senior analytics engineer, Atlan's ability to show end-to-end data lineage is the most important feature for me."
"The best feature of Atlan is its integration with communication platforms like Microsoft Teams and Slack, so business users don't have to go into a data catalog to see metadata about data assets."
"The best feature of Atlan is its integration with communication platforms like Microsoft Teams and Slack, so business users don't have to go into a data catalog to see metadata about data assets."
"Informatica Cloud Data Integration is stable."
"I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful."
"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management, and you can write code to build your logic rules to check the quality."
"I definitely would recommend the Informatica solution to other people."
"The most valuable feature of Informatica Enterprise Data Catalog is it provides clients with a full view of the enterprise data assets. For example, how many data assets they have and who owns them."
"The solution has multiple valuable features for metadata collection"
"The profiling features are much better than the on-premise version."
"The cost of the product is high, but feature wise, it provides a whole lot of features that can easily solve your problems."
 

Cons

"One of the main areas for improvement is its governance capabilities. Atlan supports only basic out-of-the-box workflows, and it becomes challenging to customize features like how data owners should approve access to data assets."
"The product could be improved by offering scheduled email reports for managed assets."
"The challenge is in the lineage, where it requires improvement. Atlas needs to capture areas where organizations use less known applications."
"In my experience, it might be less suited for collaboration across teams."
"Certain UI changes could make Atlan more user-friendly."
"One of the main areas for improvement is its governance capabilities."
"The challenge is in the lineage, where it requires improvement."
"Customer support for Atlan is not so proactive."
"Their support should be improved. We have had some trouble with their support from time to time."
"The initial setup of Informatica MDM is more complex than it should be."
"The cloud version of Axon is far behind the on-prem, and many of my clients want to go fully to the cloud. However, Axon has to be an on-prem installation. I would like to see their cloud products catch up with their on-prem capabilities."
"The product is not too user-friendly to do the configurations."
"The initial setup is very, very difficult."
"With limited data it's fine, but with a large volume the scalability is questionable, the threshold of data transaction is different."
"In certain domains, I am looking for material-level match features that are not customizable. The current solution requires code-writing and tweaking, while other solutions offer material-level matches."
"One thing Informatica could improve is the way IPUs are used."
 

Pricing and Cost Advice

"We pay per-user license. It's a different classification model than with other solutions, where they usually charge you for resources. So, that was a better model for us. And because of this difference in models or classification, it was cheaper for us to go with Atlan."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"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."
"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."
"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
"The solution is very expensive."
"The pricing is quite flexible."
"It's offers value for money. They're more competitive with respect to pricing and offerings."
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Top Industries

By visitors reading reviews
Manufacturing Company
17%
Financial Services Firm
11%
Insurance Company
7%
Computer Software Company
7%
Financial Services Firm
13%
Manufacturing Company
10%
Retailer
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise9
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
 

Questions from the Community

What is your experience regarding pricing and costs for Atlan?
My experience with pricing, setup cost, and licensing is that the licensing cost is a bit flexible but not affordable for smaller organizations. It might be way out of their budget, but it is very ...
What needs improvement with Atlan?
Atlan can be improved by enhancing their support process by reducing the resolution time. They have really bad and incomplete documentation, so they should work on the documentation as well, especi...
What is your primary use case for Atlan?
My main use case for Atlan is to define a flexible set of metadata, including measuring the quality of said data. Atlan is also a partner of ours, so we use it to integrate with our own tool. It al...
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 ...
 

Also Known As

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

Overview

 

Sample Customers

Information Not Available
The Travel Company, Carbonite
Find out what your peers are saying about Atlan vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: April 2026.
893,221 professionals have used our research since 2012.