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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Atlan
Atlan

Atlan

Founded by Prukalpa Sankar in 2019

Connect enterprise data catalogs, business definitions, and lineage directly to your AI agents

Pricing model

Demo

Rating

★ People love it

Time to value

Long Setup (> 1 day)

You can use Atlan to centralize metadata, data lineage, and business definitions across your entire organization. It connects to data warehouses, databases, and reporting systems to create an enterprise data graph. You can map relationships between assets, define standardized business terms, and trace how data moves through your pipelines. The system feeds this verified business context directly into AI agents, copilots, and analytical applications through open APIs and Model Context Protocol servers. This ensures teams and automated systems reference consistent metric definitions and data governance rules.

What Atlan does

Map data lineage across pipelines and dashboardsGenerate asset descriptions for database tablesDefine and link business glossary termsConnect data warehouses and business intelligence toolsCertify production-ready metric definitionsServe enterprise data context to AI agents via APIsReview and resolve conflicting data definitionsAutomated end-to-end data lineage tracing across warehouses and BI toolsCentralized business glossary to define standardized metrics and terminologyModel Context Protocol server for feeding context directly to AI agentsMore than 80 native connectors for data warehouses, databases, and pipelinesAutomated description generation and business term linking using machine learningHuman-in-the-loop workflows for certifying and reviewing data definitionsColumn-level access control and governance policy enforcement

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

SnowflakeSnowflakeDatabricksDatabricksdbtdbtTableauTableauLookerLookerPostgreSQLPostgreSQL

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Atlan, data catalog, data governance, metadata management, data lineage, business glossary, enterprise data graph, context layer, AI agents, Model Context Protocol, MCP, data discovery, Snowflake, Databricks, BigQuery, dbt