Atlan

Atlan is an active metadata platform designed to help data teams inventory, understand, and govern their data assets across the modern data stack. It connects to data warehouses, lakes, BI tools, and ETL/ELT pipelines to automatically harvest metadata, including schemas, queries, lineage, usage patterns, and business context. Through a searchable, Google-like interface, users can discover datasets, dashboards, metrics, and pipelines, view column-level lineage, and see how changes may impact downstream assets. Atlan supports building a business glossary, documenting definitions, owners, and policies, and linking them directly to technical assets to align business and technical users.

Key capabilities include automated data lineage, data cataloging, impact analysis, and role-based access controls. It offers integrations with tools such as Snowflake, BigQuery, Redshift, Looker, Power BI, dbt, and others, allowing metadata to stay in sync with the underlying systems. Use cases include enabling self-service analytics, supporting data governance and compliance, reducing duplication of work, and speeding up root-cause analysis when data issues arise. Collaboration features such as asset owners, tags, comments, and status workflows help teams coordinate responsibilities and maintain trust in data. Atlan ultimately serves as a central, active layer for managing and operationalizing metadata across the data ecosystem.