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Atlan vs Informatica Intelligent Data Management Cloud (IDMC) 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

Atlan
Ranking in Data Governance
12th
Ranking in Metadata Management
5th
Average Rating
8.2
Reviews Sentiment
5.8
Number of Reviews
8
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Data Governance
3rd
Ranking in Metadata Management
1st
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Integration (2nd), Data Quality (1st), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (6th), Cloud Data Integration (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (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)
 

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of Atlan is 2.1%, up from 1.7% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 5.3%, down from 8.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)5.3%
Atlan2.1%
Other92.6%
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

"As a senior analytics engineer, Atlan's ability to show end-to-end data lineage is the most important feature for me."
"Overall, I rate Atlan a nine out of ten."
"Atlan is helpful for identifying datasets and discovering PI data, such as the classification levels of datasets (gold, silver, bronze)."
"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."
"Atlas is quite intuitive."
"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."
"Atlan has positively impacted the organization since it helps in discovering already available assets, allowing for reduction of redundant ingestion of external data and reduction of time to market for any project."
"The AI part is integrated for enriching metadata engagement, making it a comprehensive tool."
"One of the most valuable features is that I don't need to buy a subscription for any functionality. With Informatica Cloud Data Management, I have all the functionality and features available. If I need to make an integration, I can go to that integration service. If I need to mask, provide, or clean some information, I can easily just pick up that feature and use it. It's very simple, and I have all the functions and capabilities I need to work with data."
"The solution is easier to use compared to the other solutions."
"It is a highly scalable solution."
"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."
"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."
"The solution provides increased efficiency while still being user-friendly and easy to operate."
"The solution scales well."
"The metadata management of Informatica is great."
 

Cons

"One area that could be improved is the capability to find duplicates of datasets."
"Certain UI changes could make Atlan more user-friendly."
"There are some improvements. There is a feature called Playbooks, which basically allows me to automate certain activities that would otherwise be manual. It's a very interesting feature, but there is room to improve it because, depending on the task you automate, the playbooks seem to have a hard time handling the task. So, it could be improved there. Even though it's a great feature, it can evolve further."
"One of the main areas for improvement is its governance capabilities."
"The challenge is in the lineage, where it requires improvement."
"Certain UI changes could make Atlan more user-friendly."
"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."
"One area that could be improved is the capability to find duplicates of datasets."
"The vendor should have more training resources: online classes, free tutorial videos, etc."
"I think they should work really hard on UI."
"Some functionalities can be a challenge in the cloud."
"Informatica MDM could improve the interdependency with integration. The solution sometimes becomes a bit difficult to change considering a lot of interdependency with the integration. There can be some improvement in the workflows and they can introduce more artificial intelligence."
"With the solution, we had some issues, and we have every day, and we used to open a ticket. Sometimes, there are data issues and transformation issues."
"The cost of Informatica MDM is expensive and has room for improvement."
"I would rate my experience with the initial setup a two out of ten, with one being difficult and ten being easy."
"The GUI needs to be a little more user-friendly and appealing."
 

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."
"I have heard from customers that the product comes with a huge license cost."
"Informatica Axon is 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."
"I rate the product's price a seven on a scale of one to ten, where one is the cheapest and ten is the most expensive. The product is a bit expensive."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"The product is very expensive"
"Informatica MDM is a costly solution because it comes as a bundle. They are also globally positioning themselves and are definitely working on very upgraded technologies. If someone wanted to do it on the cloud, they have a lot of flexibility because they upgrade themselves according to the current needs. It definitely comes with a lot of features and that's the reason why it's costly. The licensing cost should be approximately one million dollars. It's about four to five times that of other vendors."
"it's expensive, but if you're looking for a stable solution, Informatica MDM is a good one to choose."
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Financial Services Firm
10%
Computer Software Company
9%
Insurance Company
8%
Financial Services Firm
14%
Manufacturing Company
11%
Computer Software Company
8%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise7
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
 

Questions from the Community

What is your experience regarding pricing and costs for Atlan?
Atlas is competitively priced compared to other data governance platforms like Collibra and Informatica. The only major drawback is its lack of an integrated data quality module.
What needs improvement with Atlan?
Atlan can be improved by integrating agents that can support users in finding assets of interest.
What is your primary use case for Atlan?
Atlan is used as a data catalog and a data governance tool. The primary idea for implementing Atlan for data cataloging in day-to-day work was to create a business data catalog to support asset dis...
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: January 2026.
881,082 professionals have used our research since 2012.