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Atlan vs Informatica Intelligent Data Management Cloud (IDMC) 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

Atlan
Ranking in Data Governance
9th
Ranking in Metadata Management
5th
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
6.7
Number of Reviews
215
Ranking in other categories
Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (9th), Business-to-Business Middleware (4th), API Management (18th), Cloud Data Integration (4th), Test Data Management (4th), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Integration Platform as a Service (iPaaS) (5th), Test Data Management Services (5th), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (3rd)
 

Mindshare comparison

As of November 2026, in the Data Governance category, the mindshare of Atlan is 1.9%, down from 2.1% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 4.7%, down from 7.4% 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)4.7%
Atlan1.9%
Other93.4%
Data Governance
 

Featured Reviews

Charles Mattison - PeerSpot reviewer
Information Security Analyst at Pfizer
Automation has transformed data quality workflows and now saves significant time and cost
A quick specific example of how our team uses Atlan to automate a manual or high-risk task is the robust functionality for the quality management of metadata sets. The most helpful thing here is all the dashboards that provide visibility in one place. We use this tool because it is very easy and integrable with other data sources, which is very convenient and time-saving. By switching to Atlan, we have increased our productivity and saved a lot of business time through automation. My team, whether technical or non-technical, adapted Atlan very quickly because of its simple and intuitive user interface. The best features Atlan offers include the ease to extract and modify the data. We can do very quick and smooth integration. It is an open-source framework that provides extension capability to the APIs it uses. Tons of automation help to automate tedious and time-consuming tasks, thereby reducing error and saving time and cost. It is extremely user-friendly and intuitive to navigate, especially the user interface. Atlan has positively impacted my organization by saving time and money while consolidating our metadata sets. Integration with Amazon and Tableau have definitely sped up our time to value. We have saved fifty-five percent of our time through the automation of tedious and time-consuming tasks. Extraction of data is easy. In this data catalog solution, data modification is really simple and easy. Integration with other software is very seamless and easy, thereby simplifying our workflow. Atlan is very scalable and helps to grow our organization while catering to our needs. It enables the team to automate manual and high-risk tasks to make them error-free as much as possible and save time and cost. It is a very cost-effective tool that should be highly adaptable and usable in any organization.
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.

Quotes from Members

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

Pros

"Atlan is helpful for identifying datasets and discovering PI data, such as the classification levels of datasets (gold, silver, bronze)."
"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."
"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."
"As a senior analytics engineer, Atlan's ability to show end-to-end data lineage is the most important feature for me."
"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 interfaces and automated imports have helped me with transparency, as we have different sources from different techniques such as DBT, Snowflake, and other regular databases, making it effective to connect these sources and navigate through them, filter them, and enrich the data with additional meter information."
"Overall, I rate Atlan a nine out of ten."
"Overall, I rate Atlan as a ten out of ten."
"The solution is straightforward."
"The MDM solution is capable of integrating multiple systems, so it helped us to solve the purpose of centralizing the depository as well as the standardization of mass data. It takes away all the ambiguity around data integrity issues or all the process challenges which happen when every stage of a process uses a different source as master data."
"Its data cleansing capabilities are very valuable. The match and merge and the audit trail functionalities are very good."
"The ability to clean out data and improve the data quality is the best feature."
"The staging and hierarchical features are the most valuable."
"Whether we need data cleansing or data mastering, we get it all in one platform."
"The data quality component is very good."
"I like that Informatica MDM has robust matching technology. Informatica MDM is also porting the external Java applications for validations. I can consider that a must-have. It is also exposed to Rest API calls, and we can engage in real-time integrations with any third-party systems."
 

Cons

"Atlan can be improved by integrating agents that can support users in finding assets of interest."
"The product could be improved by offering scheduled email reports for managed assets."
"Working with templates, Excel import, export, and running automations is not self-explanatory, and you always need help from Atlan support team."
"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."
"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."
"In my experience, it might be less suited for collaboration across teams."
"Certain UI changes could make Atlan more user-friendly."
"One area that could be improved is the capability to find duplicates of datasets."
"One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities."
"We have seen stability issues with older versions, particularly 6.x and below."
"The cloud version of the Informatica, it's a very substandard product. They might say it's enterprise-ready but it's not at all ready."
"Interoperability is one area where EDC has room for improvement."
"The stability and the integration of the solution have room for improvement."
"The product isn't mature enough to provide suitable connectors to various data engines."
"In terms of data volume processing, Intelligent Cloud Services does not match the efficiency of Power Center."
"Inserting the GenAI into the master data management will reduce the overall effort of operational activities."
 

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."
"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."
"Informatica Cloud Data Quality is a costly solution."
"Informatica Axon is expensive."
"I rate the licensing cost of Informatica MDM a five out of ten."
"The price is high, but the competitors are even higher, like Collibra."
"The licensing price of the product depends on the organization's requirements."
"It's a costly solution"
"It is cost effective and an easily accessible tool."
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Top Industries

By visitors reading reviews
Manufacturing Company
18%
Financial Services Firm
9%
Insurance Company
8%
Energy/Utilities Company
7%
Financial Services Firm
11%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
 

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 Enterprise155
 

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: October 2026.
920,929 professionals have used our research since 2012.