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Atlan vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 3, 2024

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
10th
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Data Governance
2nd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (2nd), Data Quality (1st), Business Process Management (BPM) (11th), Business-to-Business Middleware (5th), API Management (8th), Cloud Data Integration (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Mindshare comparison

As of June 2025, in the Data Governance category, the mindshare of Atlan is 1.9%, up from 1.1% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 5.9%, down from 9.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance
 

Featured Reviews

Leon Pereira - PeerSpot reviewer
Enhanced data management with intuitive data lineage and metadata visualization
Certain UI changes could make Atlan more user-friendly. While they have an Excel add-in for interaction with Atlan, it's in its early stages and could be improved. Additionally, data observability capabilities could be enhanced to provide more alerts on stale or outdated data via communication tools like Microsoft Teams, Slack, or email.
Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.

Quotes from Members

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

Pros

"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."
"The AI part is integrated for enriching metadata engagement, making it a comprehensive tool."
"As a senior analytics engineer, Atlan's ability to show end-to-end data lineage is the most important feature for me."
"Atlas is quite intuitive."
"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 technical support services are good."
"Atlan is helpful for identifying datasets and discovering PI data, such as the classification levels of datasets (gold, silver, bronze)."
"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."
"I like the number of options that are presented with Informatica, fuzzy matching, and your screen."
"The product is scalable and excellent for enterprise-level organizations."
"The data quality component is very good."
"REST API: Excellent for scripting control and reporting mechanisms"
"Informatica MDM stands out as a tool that can give you the flexibility needed for doing channel-specific data quality or business validation."
"I have rated the stability a ten out of ten due to a high level of satisfaction."
"The product improves data quality."
 

Cons

"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 area that could be improved is the capability to find duplicates of datasets."
"The challenge is in the lineage, where it requires improvement. Atlas needs to capture areas where organizations use less known applications."
"The product could be improved by offering scheduled email reports for managed assets."
"Certain UI changes could make Atlan more user-friendly."
"Certain UI changes could make Atlan more user-friendly."
"The challenge is in the lineage, where it requires improvement."
"One of the main areas for improvement is its governance capabilities."
"Once the data is masked, we won't be able to reverse it back to its original value."
"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another."
"The stability and the integration of the solution have room for improvement."
"Compared to other tools in the market, Informatica MDM is costly."
"We haven't had many technical issues. We don't use all of the components of the tool that are more complex and error-prone."
"The product could be improved in the area of architecture and technology. All the parts are old."
"Informatica Axon needs more integration connectors so that it can connect to systems and different kinds of datasets."
"Enhancements on the UI front, such as multiple templates and improved grid views, would be beneficial."
 

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."
"We have licenses, and we are provided with certain particular services in the solution."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"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."
"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."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."
"I have heard from customers that the product comes with a huge license cost."
"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."
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Top Industries

By visitors reading reviews
Manufacturing Company
12%
Financial Services Firm
12%
Computer Software Company
10%
Insurance Company
9%
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Atlan?
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. Additi...
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?
The challenge is in the lineage, where it requires improvement. Atlas needs to capture areas where organizations use less known applications.
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, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
 

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: June 2025.
856,873 professionals have used our research since 2012.