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Logo of Atlan

Atlan

byAtlan
in
4.6
2025
Market Presence: Metadata Management Solutions, Data and Analytics Governance Platforms

Overview

Product Information on Atlan

Updated 22nd May 2026

What is Atlan?

Atlan is the context layer for AI — the infrastructure that makes enterprise AI accurate, trustworthy, and scalable. Its Context Pipeline automatically builds the business context AI agents need from an organization's existing data estate — warehouses, pipelines, BI tools, SaaS systems — into a unified graph of data assets, their relationships, lineage, and business meaning. AI automatically generates descriptions, links business terms, and surfaces metrics at scale. Human teams step in to verify, test against real business questions, and certify what's production-ready. That context is then delivered to every AI agent in the stack — Cortex, Claude, ChatGPT, custom pipelines — via MCP, native integrations, and an open, Iceberg-based Context Lakehouse.

Atlan Pricing

Overall experience with Atlan

Data and Analytics Manager
50M - 250M USD, Software
FAVORABLE

“Simple Data Data Integrations, Flexible Data Models, Excellent Developer API”

5.0
Mar 20, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
There are no reviews in this category.
CRITICAL

Badges

Gartner Peer Insights recognizes vendors who meet or exceed both the market average Overall Experience and the market average User Interest and Adoption score through a Customers’ Choice distinction.
2025
For Market:
Data and Analytics Governance Platforms

About Company

Company Description

Updated 7th December 2023

Atlan is a metadata platform designed to cater to the needs of data-driven teams. The system unifies metadata from diverse sources such as Snowflake, dbt, Databricks, Looker, Tableau, Postgres and others, consolidating them into a single source of truth for data discovery, cataloging, lineage, and governance. This platform covers all types of data assets, like columns, queries, metrics and dashboards. One of Atlan’s fundamental features is promoting the bi-directional movement of metadata, fostering a seamless, context-enriched operational environment for data teams across their regular toolsets and workflows. For instance, this feature could be beneficial when clarifying metrics on a dashboard within a BI tool.

Company Details

Updated 26th February 2025
Company type
Private
Year Founded
2019
Head office location
United States
Number of employees
201 - 500
Website
https://atlan.com/

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Atlan Reviews and Ratings

4.6

(85 Ratings)

Rating Distribution

5 Star
54%
4 Star
46%
3 Star
0%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Data and Analytics Manager
    50M-1B USD
    Software
    Review Source

    Simple Data Data Integrations, Flexible Data Models, Excellent Developer API

    5.0
    Mar 20, 2026
    The product delivers on what we expected - a highly functional data catalog service that is a capable tool for data engineers, analysts, and data scientists alike. Sales & Customer Success teams have been helpful and friendly and have given us helpful guidance as we've onboarded our technology and people to the tool.
  • Data and Analytics Manager
    50M-1B USD
    Software
    Review Source

    Simple Data Data Integrations, Flexible Data Models, Excellent Developer API

    5.0
    Mar 20, 2026
    The product delivers on what we expected - a highly functional data catalog service that is a capable tool for data engineers, analysts, and data scientists alike. Sales & Customer Success teams have been helpful and friendly and have given us helpful guidance as we've onboarded our technology and people to the tool.
  • Read All 86 Reviews

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Recommended Gartner Insights

  • Critical Capabilities for Metadata Management Solutions
  • Magic Quadrant for Metadata Management Solutions
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User Sentiment About Atlan
Reviewer Insights for: Atlan
Deciding Factors: Atlan Vs. Market Average
Performance of Atlan Across Market Features

Atlan Likes & Dislikes

Like

- Data Warehouse integrations make it relatively simple to import data into the catalog and map relationships - User Interface is intuitive, making it easy for people in the organization to onboard to popular functionality with little guidance - Data assets have an extensible, customizable data model that allows them to work flexibly with some of our unique use cases and internal tool integrations. Their highly capable API helps us maintain that data model

Like

- Data Warehouse integrations make it relatively simple to import data into the catalog and map relationships - User Interface is intuitive, making it easy for people in the organization to onboard to popular functionality with little guidance - Data assets have an extensible, customizable data model that allows them to work flexibly with some of our unique use cases and internal tool integrations. Their highly capable API helps us maintain that data model

Like

- Data Warehouse integrations make it relatively simple to import data into the catalog and map relationships - User Interface is intuitive, making it easy for people in the organization to onboard to popular functionality with little guidance - Data assets have an extensible, customizable data model that allows them to work flexibly with some of our unique use cases and internal tool integrations. Their highly capable API helps us maintain that data model