Atlan vs Collibra Platform comparison

Atlan and Collibra are both solutions in the Data Governance category. Atlan is ranked #12 with an average rating of 8.3, while Collibra is ranked #2 with an average rating of 8.2. Atlan holds a 2.0% mindshare in DG, compared to Collibra’s 7.6% mindshare. Additionally, 100% of Atlan users are willing to recommend the solution, compared to 96% of Collibra users who would recommend it.

Atlan

Read 10 Atlan reviews

2,229 Views
2,162 Comparison Views

100% willing to recommend

Collibra Platform

Read 82 Collibra Platform reviews

12,515 Views
9,887 Comparison Views

96% willing to recommend

Atlan

Collibra Platform

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Mar 15, 2026

Atlan and Collibra Platform compete in data management. Atlan leads with better pricing and support, while Collibra justifies its higher price with comprehensive features for enterprise data governance.

Features: Atlan provides collaboration tools, automated data lineage, and agile data management. Collibra offers extensive data governance, stewardship, and scalable infrastructure.

Room for Improvement: Atlan could enhance its feature set for more detailed governance needs. Collibra's higher cost and complex deployment could be streamlined. Atlan might expand its advanced customization options, while Collibra could sharpen its user interface.

Ease of Deployment and Customer Service: Atlan's cloud-first model accelerates deployment with strong customer support. Collibra takes longer with a traditional approach but offers a robust support network.

Pricing and ROI: Atlan's lower setup cost appeals to budget-conscious businesses seeking quick ROI. Collibra, while costlier initially, offers better ROI for large enterprises needing extensive data solutions.

To learn more, read our detailed Atlan vs. Collibra Platform Report (Updated: May 2026).

Buyer's Guide

Atlan vs. Collibra Platform

May 2026

Download the complete report

Helped 894,998 peers since 2012

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

4th

Average Rating

8.4

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Collibra Platform

Ranking in Data Governance

2nd

Ranking in Metadata Management

1st

Average Rating

7.8

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

AI Governance (1st)

Mindshare comparison

As of May 2026, in the Data Governance category, the mindshare of Atlan is 2.0%, up from 1.8% compared to the previous year. The mindshare of Collibra Platform is 7.6%, down from 13.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Collibra Platform	7.6%
Atlan	2.0%
Other	90.4%

Data Governance

Featured Reviews

Peter Neumann

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.

Read full review

Souvik Choudhury

Data Governance And Quality Consultant at a consultancy with 1,001-5,000 employees

Unified data governance has reduced manual effort and accelerates trusted AI model oversight

Improvement with respect to adding more connectors is one thing I feel which needs to be looked at. Right now, Collibra Platform provides many connectors and native connections, out-of-the-box connectors, but the technology landscape is overgrowing, and several new enterprise tools are coming in the market. The number of connectors can be increased. Secondly, to use Collibra Platform APIs, you need to always have a JSON Web Token or admin access, so that process can be improvised. Third, Collibra Platform can try and test how to make the work faster with more and more agents. Capturing the lineage becomes a little cumbersome in Collibra Platform when the technology landscape is a combination of multiple tools, so that is one thing which can be simplified. I have already added the integration with other tools, so that is one area which needs to be improvised and there is scope for improvement. Another thing is bringing in more agents to agentify things and making work faster.

Read full review

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."

"By switching to Atlan, we have increased our productivity and saved a lot of business time through automation."

"As a senior analytics engineer, Atlan's ability to show end-to-end data lineage is the most important feature for me."

"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."

"Overall, I rate Atlan as a ten out of ten."

"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 technical support services are good."

More Atlan pros

"Essentially, it has provided us with more trust and transparency — this is the real benefit that we've got out of Collibra."

"We have folks in the field doing our clinical research operations, and they have the opportunity to refer to Collibra when they are examining a particular report. When they have a question about how something in that report is derived, they can pull a metric that is defined fully in Collibra. They have the opportunity to drill back into Collibra to see that."

"I like the lineage feature the most because I don't think there's any other tool that actually depicts the data flow from multiple sources and the connectivities between every data element inside those sources."

"The most valuable feature is the Technical Lineage. The fact that you can trace the auditability of a particular field or attribute across various systems is very useful."

"I help organizations uplift their data governance using Collibra Platform, which has positively impacted our organization."

"The data lineage piece is very useful for us."

"Collibra is evolving their connectivity towards all programs across the IT landscape, with good workflows, nine dimensions of data quality, and many features, and it is based on Artificial Intelligence and Machine Learning so that even if you don't know SQL, you can operate Collibra Data Quality."

"Collibra Platform has impacted my organization positively; the main benefit is that we now have our best catalog organizer, and since we moved from one type of database that was mostly relational, we are now able to see other types of structures, and we can actually use spreadsheets, tables, and other types of information that could be generated from them."

More Collibra Platform pros

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."

"The challenge is in the lineage, where it requires improvement."

"Customer support for Atlan is not so proactive."

"In my experience, it might be less suited for collaboration across teams."

"One area that could be improved is the capability to find duplicates of datasets."

"Working with templates, Excel import, export, and running automations is not self-explanatory, and you always need help from Atlan support team."

"Certain UI changes could make Atlan more user-friendly."

"One of the main areas for improvement is its governance capabilities."

More Atlan cons

"I would like to see a feature using the runtime dashboard."

"What I use it for is fairly rudimentary, and I don't have any complaints about it. I haven't tried to stretch the boundaries at all, but it would be nice if there were capabilities built within the system to somehow help enforce the quality and consistency across related elements that are built in the catalog."

"While connecting with the data source, it's not very easy. If there's a firewall, it is difficult to connect with the database."

"The connectors are not very sophisticated. They can do, for example, Informatica and Tableau, but the connectors themselves could be improved."

"The domain-based approach could be more helpful for aspects such as customer 360 and product 360."

"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."

"The platform can sometimes be unstable, particularly in terms of speed and reconnection issues."

"There are certain processes that involve a lot of manual work, specifically when searching for attribute assignments. It would be better if we could do this via APIs."

More Collibra Platform cons

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 purchase its annual license. There is an extra cost for additional users."

"The product's pricing is high, which its comprehensive features and capabilities may justify."

"Generally, it is a rather expensive solution compared to some other tools in the market, but I found it to be fair-priced for its capabilities."

"Collibra Governance is an expensive solution."

"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."

"Collibra is a bit expensive."

"It's expensive, especially for small companies."

"Many of our customers I spoke to felt that the solution is a bit highly-priced."

More Collibra Platform pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Governance solutions are best for your needs.

See recommendations

894,998 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Manufacturing Company

17%

Financial Services Firm

11%

Insurance Company

Computer Software Company

Financial Services Firm

17%

Computer Software Company

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	24
Midsize Enterprise	13
Large Enterprise	58

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 ...

See all answers

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...

See all answers

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...

See all answers

What needs improvement with Collibra Data Intelligence Platform?

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 g...

See all answers

What is your primary use case for Collibra Data Intelligence Platform?

I am a user who has worked at companies that use Collibra Platform as their data catalog and data intelligence platform tool. My first company, MetLife, used Collibra Platform, but I wouldn't know ...

See all answers

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.

See all answers

Comparisons

Microsoft Purview Data Governance vs Atlan

Compared 22% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Atlan

Compared 11% of the time

Alation Data Catalog vs Atlan

Compared 11% of the time

Dawiso vs Atlan

Compared 9% of the time

illumex vs Atlan

Compared 7% of the time

More Atlan Competitors

Microsoft Purview Data Governance vs Collibra Platform

Compared 10% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Collibra Platform

Compared 7% of the time

Alation Data Catalog vs Collibra Platform

Compared 5% of the time

erwin Data Intelligence vs Collibra Platform

Compared 4% of the time

Data Hub vs Collibra Platform

Compared 2% of the time

More Collibra Platform Competitors

Product Reports

Buyer's Guide

Atlan

May 2026

Download Atlan product report

Buyer's Guide

Collibra Platform

May 2026

Download Collibra Platform product report

Also Known As

No data available

Data Intelligence Platform, Collibra AI Governance, Collibra Catalog, Collibra Governance, Collibra Lineage, Collibra Privacy & Risk

Overview

Atlan is a comprehensive data management platform designed to enhance data democratization, governance, and collaboration across departments in organizations. It offers a centralized data catalog, intuitive user interface, and robust governance framework to ensure data security and compliance. Users appreciate its efficiency in streamlining processes, promoting better communication, and providing insightful analytics, which drive organizational growth and success.

Atlan

Collibra Platform is preferred for workflows, data lineage, and a user-friendly interface. It enhances metadata management with robust collaboration, flexible customization, and powerful reporting, aiding organizations in effective data management.

Collibra Platform provides dependable solutions for metadata management, data lineage, and governance. It strengthens data governance with cataloging, glossaries, automation, and integration, supporting compliance and data quality management. Despite challenges with integration and metadata ingestion, the platform is vital for data governance programs, offering comprehensive AI capabilities and streamlined processes for enterprise data management.

What are Collibra Platform's key features?

Workflows: Enhances process efficiency with customizable workflows.
Data Lineage: Tracks data movement across systems for accountability.
User-friendly Interface: Simplifies interaction with intuitive design.
Metadata Management: Manages and organizes metadata for better insights.
Collaboration Features: Fosters teamwork with integrated tools.
Cataloging and Glossary: Improves governance and traceability.

What benefits should be sought in reviews?

Improved Business Processes: Drives efficiency with automation and customization.
Enhanced Data Governance: Facilitates compliance with comprehensive traceability tools.
Robust Integration: Ensures seamless data flow across various systems.
Advanced Reporting: Provides insights for data-driven decisions.

In industries, Collibra Platform supports IT teams through metadata management and data quality assurance. It is widely used for compliance initiatives like GDPR, speeding up digital transformation and enforcing policy management. Organizations employ it to consolidate business and technical metadata, ensuring effective enterprise-scale data management in diverse sectors.

Collibra

Sample Customers

Information Not Available

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive

Buyer's Guide

Atlan vs. Collibra Platform

May 2026

Free Report: Atlan vs. Collibra Platform

Find out what your peers are saying about Atlan vs. Collibra Platform and other solutions. Updated: May 2026.

DOWNLOAD NOW

894,998 professionals have used our research since 2012.

See our Atlan vs. Collibra Platform report.

See our list of best Data Governance vendors and best Metadata Management vendors.

We monitor all Data Governance reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.