{"best_for":["Enterprise companies","Mid-market companies","Enterprise data teams","AI-forward organizations"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/atlan","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/atlan.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-005.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: atlan (https://aitoolsforbusiness.ai/atlan)"},"features":["Enterprise Data Graph: Unifies business systems, SQL query history, and BI definitions into a single graph of the data estate.","Column-Level Lineage: Provides visibility into data flow to help teams find root causes and assess the impact of changes.","Data Marketplace: Supports packaging data tables, dashboards, and metrics into reusable data products.","AI Governance: Provides a framework to govern how AI agents access and use business logic and trusted data.","Metadata Lakehouse: An Iceberg-native architecture that includes vector storage and a knowledge graph for business domains.","Data Quality Tools: Includes tools to define and monitor the reliability and completeness of data assets."],"freshness_status":"fresh","name":"atlan","pricing_note":"Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.","pricing_url":null,"primary_category":"Data & Analytics","profile_last_verified":"2026-06-09T17:40:50.514Z","secondary_categories":[],"short_description":"Atlan is a metadata management platform that provides a data graph and governance tools to help teams organize and trust their data.","slug":"atlan","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/atlan","use_cases":["Supporting AI Readiness: Building a context layer that provides AI agents with the business logic and definitions needed to answer complex business questions.","Enterprise Data Governance: Establishing a shared language across the organization by linking business terms to technical data assets.","Data Discovery and Reuse: Creating a searchable marketplace of certified data products to help reduce duplicate dashboards.","Impact Analysis: Using column-level lineage to understand how changes in a data source may affect downstream reports."],"website_url":"https://atlan.com/"}