Atlan in Action⚡️

Unify context across your stack — Connect Snowflake, Databricks, Tableau, Looker, dbt, and 50+ other tools to get automated lineage, searchable assets, and governance controls in one place.

Collaborate with clear ownership — Define metrics once, assign owners, and surface certifications and quality signals so teams know what’s trusted.

Activate context where work happens — Push lineage and documentation into Slack threads, Jira tickets, and BI dashboards so engineers and analysts get answers without leaving their tools.

Unify context across your stack — Connect Snowflake, Databricks, Tableau, Looker, dbt, and 50+ other tools to get automated lineage, searchable assets, and governance controls in one place.

Collaborate with clear ownership — Define metrics once, assign owners, and surface certifications and quality signals so teams know what’s trusted.

Activate context where work happens — Push lineage and documentation into Slack threads, Jira tickets, and BI dashboards so engineers and analysts get answers without leaving their tools.

Search that understands your business language — Type "CAC" or "customer acquisition cost" and find every dashboard, table, and report using that metric, powered by semantic links between glossary terms and technical assets.

Collaboration without context switching — Ask questions and get answers in Slack threads tied directly to glossary terms, with change notifications that keep stakeholders informed without inbox overload.

Governance that scales with automation — No-code approval workflows for term changes, bulk uploads from existing spreadsheets, and playbooks that automatically link terms to assets based on naming patterns.

One source of truth across platforms — Definitions, ownership, lineage, and governance sync in real time between Atlan and Amazon SageMaker Unified Studio, so teams always work with the same context.

AI-ready data products with business meaning — Assets from Amazon SageMaker Unified Studio get organized as data products in Atlan, complete with quality signals, clear ownership, and the context AI builders need.

Lineage that connects your entire AWS stack — Trace data from S3 through Glue, Redshift, and into SageMaker models to validate training data, understand impact, and fix issues faster.