Skip to main content

dbt Explorer FAQs

dbt Explorer is dbt Cloud’s new knowledge base and lineage visualization experience. It offers an interactive and high-level view of your company’s entire data estate, where you can dive deep into the context you need to understand and improve lineage so your teams can trust the data they’re using to make decisions.


 How does dbt Explorer help with data quality?
 How is dbt Explorer priced?
 What happened to dbt Docs?

How dbt Explorer works

 Can I use dbt Explorer on-premises or with my self-hosted dbt Core deployment?
 How does dbt Explorer support dbt Cloud environments?
 How do I get started in Explorer? How does it update?
 Is it possible to export dbt lineage to an external system or catalog?
 How does dbt Explorer integrate with third-party tools to show end-to-end lineage?

Key features

 Does dbt Explorer support multi-project discovery (dbt Mesh)?
 What kind of search capabilities does dbt Explorer support?
 Can I view model execution information for a job that is currently being run?
 Can I analyze the number of successful model runs within a month?
 Can model or column descriptions be edited within dbt Cloud?
 Where do recommendations come from? Can they be customized?

Column-level lineage

 What are the best use cases for column-level lineage in dbt Explorer?
 Does the column-level lineage remain functional even if column names vary between models?
 Can multiple projects leverage the same column definition?
 Can column descriptions be propagated down in downstream lineage automatically?
 Is column-level lineage also available in the development tab?

Availability, access, and permissions

 How can non-developers interact with dbt Explorer?
 Does dbt Explorer require a specific dbt Cloud plan?
 Will dbt Core users be able to leverage any of these new dbt Explorer features?
 Is it possible to access dbt Explorer using a read-only license?
 Is there an easy way to share useful dbt Explorer content with people outside of dbt Cloud?