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Atlan vs Collibra Platform 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
5th
Average Rating
8.4
Reviews Sentiment
5.8
Number of Reviews
10
Ranking in other categories
No ranking in other categories
Collibra Platform
Ranking in Data Governance
1st
Ranking in Metadata Management
1st
Average Rating
7.8
Reviews Sentiment
6.2
Number of Reviews
89
Ranking in other categories
AI Governance (1st)
 

Mindshare comparison

As of August 2026, in the Data Governance category, the mindshare of Atlan is 1.8%, down from 2.1% compared to the previous year. The mindshare of Collibra Platform is 8.6%, down from 11.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
Collibra Platform8.6%
Atlan1.8%
Other89.6%
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.
AK
Senior Consultant at Morgan Stanley
Data governance has transformed business glossaries and now drives AI-ready insights
I think it's a great platform. Searching can be made a little better. The data marketplace which it provides is also great, but sometimes when we are searching an element and we know we are not sure if we can find it or if we have missed it. Listing data domains in one place for quick visibility will be an add-on. I am not a hardcore coder. For a coder to create workflows and automate the process, I needed to learn Groovy script and create some workflows. In the automation part, I think it can also introduce a low-code, no-code platform where we can connect different connectors and we can quickly create some automated workflows, if at basic level only, because the next big thing is automation and AI. Low-code, no-code platforms are being used by everyone. I think that will be useful. When I look for a data domain, I'm not able to find it very quickly. For a business owner to know data domains and search data domains, it could be made a little easier. Also, the automation part needs improvement. We are only able to enter the data manually or connect to a data source, but now we want to create some workflows as well. That's why I've chosen a rating of eight. Otherwise, it's really great.

Quotes from Members

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

Pros

"Overall, I rate Atlan a nine out of ten."
"By switching to Atlan, we have increased our productivity and saved a lot of business time through automation."
"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."
"Atlas is quite intuitive."
"The technical support services are good."
"By switching to Atlan, we have increased our productivity and saved a lot of business time."
"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."
"Atlan is helpful for identifying datasets and discovering PI data, such as the classification levels of datasets (gold, silver, bronze)."
"The data lineage piece is very useful for us."
"The automation process is very strong."
"Workflows is the most valuable feature of Collibra because we will typically use an interface for it and we can customize it as per our needs."
"The most valuable features of Collibra Catalog are its customizability and ease of use."
"The solution's most valuable feature is data cataloging."
"One of the best features of Collibra Lineage is that it provides an end-to-end perspective of where data is used in the enterprise."
"The end-to-end solution itself is great. The most valuable is the workload feature that Collibra offers. There is a vast amount of flexibility in terms of how much we can customize. It gives us a lot of options to implement for a lot of purposes."
"Collibra Platform is a wonderful platform that has helped with metadata ingestion in real projects."
 

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 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 of the main areas for improvement is its governance capabilities."
"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."
"Atlan can be improved by integrating agents that can support users in finding assets of interest."
"Certain UI changes could make Atlan more user-friendly."
"One area that could be improved is the capability to find duplicates of datasets."
"One problem is the data lineage, especially extracting the ETL transformation from different ETL tools and identifying how the data is getting changed from one layer to different layers and how the transformation is applied. It doesn't support all the ETL tools for extracting the transformation logic. It supports some of the tools, but there are still some tools that need to be supported. There is also a small pain point in terms of integration. There is a little bit of change in their strategy from Collibra's end. Earlier, they used to offer two solutions. One was out of the box, and one was a custom-built solution for which they used to provide a dual connector. Now the focus from the Collibra side is more on using the out of the box connector. They are discouraging doing the custom integration. That leaves us with two problems. The first problem is that the out-of-the-box connecter is not yet enabled for a lot of systems, and the second problem is that the out-of-the-box connecter has certain limitations. If we want to tweak those as per our needs, it is not possible. However, the custom-built is still supported, and you can still build a custom integration by using the API, but it is not very encouraged by Collibra. Its dashboard also needs to be improved. There are options to use the HTML code to customize your dashboard, but it has a lot of limitations."
"Collibra, as far as I know, does not have a connector like Oracle, or a mainframe. It's important to have a connector so that you have access to up-to-date information."
"It should have more integrations with things like CyberArk because its main purpose is GDPR implementation."
"Regarding the accuracy and reliability of output for Collibra Platform's AI capabilities, there is room for improvement by expanding the number of use cases."
"We are not able to ingest all the data in Collibra, and that's why we cannot do element-to-element level data tracking."
"Collibra Lineage could improve connectively. If they can offer more out-of-the-box connectors, which come as in a package compared to you having to go and buy a lot in the marketplace for certain specific connectors."
"From a usability perspective, customers usually find some areas of the solution a bit complex. It takes a long time for the customers to get used to the UI and the interface."
"In terms of improvements, I would highlight a few points that could be enhanced in the Collibra Data Intelligence Platform."
 

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."
"Collibra Governance is an expensive solution."
"The product's pricing is high, which its comprehensive features and capabilities may justify."
"I think it is on a yearly basis, but I'm not involved with the pricing session, so I have no idea. There are several licenses for different models. You get one license per product, but a lot of features are controlled separately through different licenses. So, as and when you want to use a feature, you have to procure the license for that feature."
"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 Governance is expensive - I would rate its pricing as one out of five."
"It is substantial, and we do pay yearly."
"The solution's pricing is moderate and not very expensive."
"I think they have a trust issue. I did not like the way they recently went through the process. They were like, "Finish this SOW first, only then will we sign the other SOW." Or, "Finish this code." I didn't like that much."
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Top Industries

By visitors reading reviews
Manufacturing Company
19%
Financial Services Firm
9%
Energy/Utilities Company
7%
Insurance Company
6%
Financial Services Firm
16%
Computer Software Company
8%
Manufacturing Company
8%
Outsourcing 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 Business24
Midsize Enterprise14
Large Enterprise63
 

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...
What needs improvement with Collibra Data Intelligence Platform?
The user experience of Collibra Platform could be better. Even though there is a large research tab, I think it could be more customizable, meaning I could add filters. Currently, it does not have ...
What is your primary use case for Collibra Data Intelligence Platform?
My main use case for Collibra Platform is data governance and traceability of data sources. For governance or traceability in my work, I can provide a specific example: we migrated a couple of data...
What advice do you have for others considering Collibra Data Intelligence Platform?
The advice I would give to others looking into using Collibra Platform is that every tool has a learning curve. They should pursue it; Collibra Platform is a very well-developed and well-explained ...
 

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: August 2026.
909,563 professionals have used our research since 2012.