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Atlan vs Collibra Platform comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 9, 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
Collibra Platform
Ranking in Data Governance
2nd
Ranking in Metadata Management
2nd
Average Rating
7.8
Reviews Sentiment
6.3
Number of Reviews
75
Ranking in other categories
AI Governance (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 Collibra Platform is 9.2%, down from 13.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Market Share Distribution
ProductMarket Share (%)
Collibra Platform9.2%
Atlan2.1%
Other88.7%
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.
reviewer2774796 - PeerSpot reviewer
Data Governance System Specialist at a energy/utilities company with 1,001-5,000 employees
Data governance has unified definitions and saves audit preparation time across the enterprise
A separate team did the setup for this tool and was involved in setting it up. When they were doing the setup, it was a significant upfront investment in terms of the configuration, modeling, and governance design because the team first had to define the domains, the assets, and the roles. That takes time, and in the insurance environment where we had many legacy systems, this increased the setup effort. It would be helpful if Collibra Platform could have industry specific starter templates that could accelerate adoption. As we ingested more and more metadata, sometimes the catalog searches became slower by a fraction of a second because there was more metadata in the tool. After inserting millions of rows into the physical data dictionaries, the catalog searches could become a little bit slower. Having some better performance optimization might help with this minor issue.

Quotes from Members

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

Pros

"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."
"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."
"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 AI part is integrated for enriching metadata engagement, making it a comprehensive tool."
"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."
"On a scale of 1 to 10, I would rate Collibra Data Intelligence Platform a 10."
"The solution allowed us to quickly and efficiently implement our data governance operating model, including accountabilities, regulatory lineage, and data dictionaries. This was much faster and more efficient than manual methods or other tools like Informatica. I prefer Collibra Lineage for its self-service capabilities."
"The data lineage capability is valuable as it shows how different sources are connected and how data flows, which is crucial for projects like migrations. Moreover, data lineage visualization in Collibra Catalog aids our data governance initiatives."
"Gartner identifies Collibra Catalog as the leader, which aligns with our observations."
"The diagrams are good for data visualization."
"The technical support from Collibra Governance is excellent, and I rate it as ten out of ten."
"Collibra Catalog has significantly enhanced data governance and compliance for our team, primarily through its valuable feature of endpoint lineage enabling visual representation of the data."
"The most valuable feature is the discovery process for the data catalog because we get it in a visual format as a way to understand and classify it."
 

Cons

"One of the main areas for improvement is its governance capabilities."
"One area that could be improved is the capability to find duplicates of datasets."
"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."
"Working with templates, Excel import, export, and running automations is not self-explanatory, and you always need help from Atlan support team."
"The challenge is in the lineage, where it requires improvement. Atlas needs to capture areas where organizations use less known applications."
"The challenge is in the lineage, where it requires improvement."
"The product could be improved by offering scheduled email reports for managed assets."
"Certain UI changes could make Atlan more user-friendly."
"The workflows and the language they use needs to be improved."
"There are certain processes that involve a lot of manual work, specifically when searching for attributes assignment. It would be better if we could do this via APIs."
"Collibra doesn't provide support for integration for SAP Info Steward directly with Collibra."
"It would be better if features like the privacy module and AI-based Collibra DQ were included in one package instead of being separate and requiring additional costs. Currently, the basic package covers lineage and documentation, but the extra modules come at an extra cost."
"There are certain limitations and difficulties regarding the migration of complex data quality rules, as the tool may struggle with lengthy calculations and longer loading times."
"When you have a huge amount of hierarchical data to manage, the solution's performance tends to decrease."
"The tool's overall functionalities need to improve since, nowadays, many tools, from a business perspective, are easy to use."
"The workflow documentation must be improved."
 

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 would say it's probably in line with what other vendors charge for licensing."
"I am not so much aware of price details. Initially, there was an add-on NuSoft license to use the DVC connector that NuSoft gives to create integrations, but Collibra is now phasing out of it slowly. Collibra is cutting ties with them is what we have been led to believe, and we have started developing on Spring Boot, which is open source."
"It is substantial, and we do pay yearly."
"There are different licenses available for Collibra Lineage based on what kind of access you want. If you want, for example, a read-only license they have different ones to pick from."
"Collibra is a bit expensive."
"The product's pricing is high, which its comprehensive features and capabilities may justify."
"Collibra Governance is an expensive solution."
"Collibra Catalog is fairly priced - I would rate their pricing seven out of ten."
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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
19%
Computer Software Company
9%
Manufacturing Company
8%
Insurance Company
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 Business20
Midsize Enterprise9
Large Enterprise55
 

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...
What needs improvement with Collibra Data Intelligence Platform?
Collibra Platform can be improved by adding more connectors to the ecosystems.
What is your primary use case for Collibra Data Intelligence Platform?
Collibra Platform serves as the central place to document, govern, and understand our data assets. I use Collibra Platform in my day-to-day work to build out a business glossary and the data catalo...
What advice do you have for others considering Collibra Data Intelligence Platform?
My advice to others looking into using Collibra Platform is to use it in cloud because that is the best solution. I give this review a rating of 10 out of 10.
 

Also Known As

No data available
Data Intelligence Platform, Collibra AI Governance, Collibra Catalog, Collibra Governance, Collibra Lineage, Collibra Privacy & Risk
 

Overview

 

Sample Customers

Information Not Available
AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
Find out what your peers are saying about Atlan vs. Collibra Platform and other solutions. Updated: January 2026.
881,036 professionals have used our research since 2012.