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Atlan Reviews

Vendor: Atlan
4.1 out of 5
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What is Atlan?

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.

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Atlan is the #5 ranked solution in top Metadata Management solutions and #10 ranked solution in Data Governance tools. PeerSpot users give Atlan an average rating of 8.2 out of 10. Atlan is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): Atlan vs Informatica Intelligent Data Management Cloud (IDMC). Atlan is popular among the large enterprise segment, accounting for 55% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a manufacturing company, accounting for 15% of all views.
Buyer's Guide
Atlan
December 2025
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Atlan mindshare

Product category:
Data Governance
As of December 2025, the mindshare of Atlan in the Data Governance category stands at 2.1%, up from 1.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Governance Market Share Distribution
ProductMarket Share (%)
Atlan2.1%
Microsoft Purview Data Governance16.6%
Collibra Platform9.6%
Other71.69999999999999%
Data Governance

PeerResearch reports based on Atlan reviews

TypeTitleDate
CategoryData GovernanceDec 30, 2025Download
ProductReviews, tips, and advice from real usersDec 30, 2025Download
ComparisonAtlan vs Microsoft Purview Data GovernanceDec 30, 2025Download
ComparisonAtlan vs Collibra PlatformDec 30, 2025Download
ComparisonAtlan vs Informatica Intelligent Data Management Cloud (IDMC)Dec 30, 2025Download
Suggested products
TitleRatingMindshareRecommending
Informatica Intelligent Data Management Cloud (IDMC)4.06.1%92%214 interviewsAdd to research
Microsoft Purview Data Governance3.816.6%84%59 interviewsAdd to research
 
 
Key learnings from peers
Last updated Dec 7, 2025

Valuable Features

Atlan's standout features include numerous out-of-the-box connectors, automated lineage tracking, and easy integration with Microsoft Teams and Slack. Its user-friendly interface supports easy navigation and data governance. Capabilities like AI-driven metadata enrichment, automated import/exports, comprehensive data lineage, and support for various data sources enhance productivity and understanding. Organizations appreciate these capabilities for streamlining data management, reducing redundant efforts, and improving efficiency in tracking data flow and metadata engagement.
  • "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."
  • "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."

Room for Improvement

Atlan could enhance its Playbooks feature to better handle automated tasks and improve data marketplace access. Scheduled email reports, duplicate dataset identification, and user-friendly UI changes are needed. Enhanced governance capabilities, capturing less-known applications, and improved data observability would benefit users. Atlan's workflows and business data focus require optimization for ease of use. A seamless interface with business data modeling tools is beneficial, and integrating agents could assist in asset discovery.
  • "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."
  • "One of the main areas for improvement is its governance capabilities."

Pricing

Atlan's pricing model offers a cost-effective solution for enterprises by charging per-user license rather than per-resource, making it appealing compared to platforms like Collibra and Informatica. While missing an integrated data quality module, its competitive pricing, especially with discounts, makes it favorable for mid-sized organizations. Though pricier than newer data catalogs like Castor, the differential model and baseline user agreement provide a financial edge for users seeking flexibility in scaling.
  • "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."

Popular Use Cases

Organizations primarily use Atlan for data cataloging, serving as a hub for data governance and asset discovery. It facilitates data management across various sources, providing a business and metrics glossary, data lineage tracking, and metadata integration from systems like SAP, Tableau, and Google BigQuery. Atlan supports self-service discovery, root cause, and impact analysis, and automation of data import-export workflows. Consulting firms recommend Atlan for its comprehensive data catalog and governance features.

Service and Support

Atlan customer service and support are consistently available and efficient, effectively addressing queries and technical challenges such as connector issues. Improvements could be made to the ticketing system, though team knowledge is satisfactory. They provide prompt responses, though occasionally delayed during POC due to customer status. Many appreciate their dedication, timely assistance, and adept handling of customized requirements, reflecting a high level of customer care. Most interactions result in positive experiences with the support team.

Deployment

Initial setup for Atlan is user-friendly and swift due to its cloud-based nature and intuitive connectors, eliminating the need for infrastructure installation. Users log in via the web and easily integrate user information for cataloging. Setup time is minimal, although lineage issues may need addressing. Starting as a minimum viable product, the process involved training super users to encourage adoption. Cloud implementations are simpler than on-premises, which require technical support.

Scalability

Atlan caters to a diverse user base and is generally scalable, though hands-on architectural adjustments may be necessary. Recent updates improve scalability through data contracts. While it handles smaller datasets effectively, its performance with larger datasets can be challenging. Atlan's cloud-native infrastructure supports scalability well, and user expansion is manageable. Positive experiences with scaling suggest it's reliable for various professional teams without notable issues in scaling capacity.

Stability

Atlan exhibits a high level of stability, maintaining consistent availability and efficient data cataloging. Users experience minimal issues with connectors and asset lineage retrieval. Occasional challenges arise with playbook scalability and new feature integration, often quickly optimized. Infrastructure support may be necessary for bulk metadata management. Acknowledgment and resolution from Atlan's team have been noted, particularly regarding ML classification enhancements, reinforcing Atlan's robust reliability.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Atlan Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise6
By reviewers
By visitors reading reviews
Company SizeCount
Small Business66
Midsize Enterprise50
Large Enterprise144
By visitors reading reviews

Top industries

By visitors reading reviews
Manufacturing Company
15%
Financial Services Firm
10%
Computer Software Company
9%
Insurance Company
8%
Retailer
6%
Energy/Utilities Company
6%
Government
6%
Healthcare Company
5%
Consumer Goods Company
4%
Educational Organization
4%
Media Company
3%
Outsourcing Company
3%
Comms Service Provider
3%
University
3%
Performing Arts
2%
Legal Firm
2%
Hospitality Company
2%
Construction Company
2%
Wholesaler/Distributor
2%
Transportation Company
1%
Pharma/Biotech Company
1%
Real Estate/Law Firm
1%
Marketing Services Firm
1%
Recreational Facilities/Services Company
1%

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Product Categories

Product Categories
Data Governance
Metadata Management

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Atlan Reviews Summary
Author infoRatingReview Summary
IT consultant at Pathfinder2.5I've used Atlan for two years to manage data lineage and glossaries; it's strong in technical integration but needs improvement for business users. Despite some complexity, it's stable, scalable, and supported well—I'd rate it five out of five.
Senior Analytics Engineer at virginmediao24.5I use Atlan as an enterprise data catalog, valuing its data lineage visualization and metadata management. While some UI improvements and enhanced data observability features are needed, Atlan significantly reduces technical query interruptions compared to alternatives like Google Cloud Platform's Dataplex.
Associate Consultant at a consultancy with 10,001+ employees3.5I found Atlan to be a comprehensive data governance tool for self-service discovery and metadata management. Its intuitive UI stands out, although its lineage capabilities need improvement. We considered other tools but chose Atlan due to its integrated features.
Engagement Manager at Fractal4.0As a consulting company, we recommend Atlan for data catalog needs due to its integration with platforms like Microsoft Teams and Slack, making metadata accessible. However, improvements are needed in governance and performance with large datasets.
Senior Data Engineer at a consumer goods company with 10,001+ employees5.0We use Atlan primarily for data discovery, serving as a business and metrics glossary, and aiding in lineage tracking and data quality checks. It excels in dataset identification and discovery but could improve in finding and consolidating duplicate datasets.
Senior Data Governance Analyst at Porto Seguro4.5Atlan serves as a data catalog and knowledge hub for our company, featuring user-friendly out-of-the-box connectors for efficient data integration. While Playbooks need improvement, the platform's automated lineage and ease of use are standout features.
Lead at a tech vendor with 10,001+ employees4.5I've used Atlan for 1.5 years as a data catalog and governance tool; its active metadata and lineage features greatly aid asset discovery, though I'd like to see better asset-finding support through intelligent agents.
Data Catalog and Metadata Specialist at Inclusion Cloud4.5In my role focused on data governance, Atlan is invaluable for cataloging and managing assets. Its user-friendly interface simplifies adoption for business users. Improvement is needed in scheduled email reports, which would enhance its reporting functionalities significantly.