“With Atlan, you can complement between business users and analytical engineers, so engineers also learn how the business is using data.”
Harel Shein
Head of Data Engineering,
Atlan pulls in metadata from dbt and maps column-level lineage across your modern data stack, so your data team can work better together.
End-to-end, column-level lineage from source to BI
Enable data consumers and producers to self-serve
Enforce documentation standards in dbt
Go beyond tables and warehouses with end-to-end, column-level lineage
View column-level transformations
Atlan pairs automated SQL parsing with dbt Cloud’s API to create column-level visibility into all your dbt transformations.
Get visibility from your data sources to BI
You’ll see how dbt models are impacting not just columns in warehouses, but downstream BI dashboards and reports too.
Join leading data teams enabling self-service with Atlan and dbt
How WeWork uses dbt + Atlan to create a self-serve data platform for 1,500 data users.
STACK
Analytics engineers,
meet your business.
Atlan syncs everyday dbt users with diverse data personas, from analysts to admins, so data teams can work better with shared context.
Enrich dbt documentation with
business context
Expose dbt docs to your entire team
By pulling metadata from dbt docs, Atlan makes native dbt context accessible to your data consumers.
Bring dbt context into all your tools
Atlan's Chrome extension brings dbt metadata where you work. If you're in a BI dashboard, you don't have to go searching for context in dbt.
Build documentation standards right from dbt
It’s your way of sharing knowledge across your organization, by standardizing documentation for engineers.
