Overview

Atlan’s Column‑Level Lineage capability is part of the Active Metadata Platform that helps organizations trace, track, and trust data and AI assets at the most granular level. It automatically stitches lineage across over 100 data sources and systems — from raw tables and models to business metrics and AI training pipelines — enabling teams to conduct impact and root‑cause analysis in minutes. Built on a scalable metadata lakehouse and knowledge graph architecture, Atlan provides a unified view of data relationships, boosts data quality, and speeds up decision‑making across business and technical users.

Features and Capabilities

• Automated Column‑Level Lineage: Automatically discovers and connects lineage at the column level across data warehouses, data lakes, BI tools, pipelines, and transformation engines.
• End‑to‑End Lineage Mapping: Unified graph showing data flows from source to consumption, including business metrics, models, and AI workflows.
• AI Lineage Support: Provides lineage for training datasets, model features, and deployed AI components for traceability and governance.
• Business and Domain Lineage: Links technical lineage with business context so analysts and business teams understand definitions, metrics, and dependencies.
• Bring Your Own Lineage: Supports ingestion of lineage via CSV uploads, APIs, or standards like OpenLineage for systems without native connectors.
• Workflow Intelligence: Surfaces upstream errors and downstream impacts directly inside GitHub/GitLab pull requests for developer insight.
• Metadata Propagation: Syncs tags, glossary terms, and descriptions bi‑directionally across lineage with tools like Snowflake and Databricks.
• Scalable Architecture: Built on JanusGraph and a metadata lakehouse to handle millions of assets and high lineage workloads.
• Collaborative Context: Integrates with team tools (Slack, Jira) to bring context and alerts directly into workflows.