Atlan AI

Atlan is a modern data catalog and collaboration workspace designed for the data mesh era — where data is produced and consumed across many teams and sources rather than flowing through a central data warehouse managed by a single team. The platform emphasises collaboration, business context, and discoverability alongside traditional catalog metadata.

AI search across all data assets allows finding tables, columns, dashboards, and ML models through natural language — 'find customer revenue tables updated in the last week' returns matching assets from across the connected data environment. For data teams where finding the right data asset before using it is a significant time investment, AI search dramatically reduces discovery time.

Auto-generated documentation uses AI to generate descriptions of data assets from their schema, query patterns, and upstream transformations — reducing the manual documentation work that keeps data catalogs perpetually out of date.

Lineage integration connects to data warehouses, dbt, Airflow, and BI tools to build end-to-end lineage showing how data flows through the entire data stack — from source systems through transformations to dashboards. Business users can trace where a dashboard number comes from without technical investigation.

Data governance workflows route data access requests, enforce data classification policies, and track consent and privacy obligations — embedding governance into the data discovery workflow rather than requiring a separate governance system.

Atlan's brand is particularly strong in the data engineering community, with adoption at companies including Walmart and McDonald's validating enterprise scale.