Atlan Becomes dbt Semantic Layer Launch Partner and Announces Integration

With column-level lineage and dbt metrics as a first-class citizen in Atlan, this partnership increases context, visibility, and self-service for diverse data teams.

SAN FRANCISCO–(BUSINESS WIRE)–Atlan, the active metadata platform for modern data teams, today announced a partnership with dbt Labs, the pioneer in analytics engineering. As part of this, joint customers will have access to an end-to-end governance framework for data models and metrics in the modern data stack.

dbt Labs’ new Semantic Layer enables organizations to centrally define key business metrics like “revenue,” “customer count,” or “churn rate” in dbt, and query them in downstream analytics tools. This allows everyone in the business to feel confident that they are working from the same assumptions as their colleagues, regardless of their data tooling of choice. If a metric definition is updated in dbt, it is seamlessly updated everywhere, ensuring consistency throughout the business.

Atlan’s integration with the dbt Semantic Layer brings dbt’s rich metrics into the rest of the data stack. With this integration, company metrics are now a part of column-level lineage, spanning from source systems and data storage to transformation and BI.

“We’re excited to partner with dbt Labs to make metrics a first class citizen for data teams,” said Varun Banka, Co-Founder of Atlan. “Metrics are the language through which the business understands data. For far too long, data teams have dealt with endless chaos about metrics definitions and accuracy. Now, with Atlan and dbt, diverse data people can cut through the chaos and work together better with easier collaboration and alignment.”

Atlan’s native dbt Cloud integration ingests all dbt metrics and metadata about dbt models, merges it with metadata from all other tools in the data stack, creates column-level lineage from source to BI, and sends that unified context back into tools like Snowflake and the BI tools where people work daily.

With this, when questions arise about company data, data teams can quickly find the correct metric, backtrack through changes via version control, assess exactly what changed at every layer (i.e. the data, definition, and operational layers), and trace how downstream assets were affected. This powerful impact and root cause analysis finally gives modern data teams the tools they need for end-to-end data governance and change management at every stage of the data lifecycle.

“The dbt Semantic Layer gives customers a central source of truth for their business-critical metrics, and the ability to query them from tools like Atlan,” said dbt Labs Chief Product Officer Margaret Francis. “Through this partnership between dbt Labs, Atlan, and other industry leaders, organizations will be able to benefit from unprecedented consistency and precision in their key metrics.”

Here is how joint customers benefit from Atlan and dbt Labs’ partnership:

• 360° metric profiles: Just like a data asset, every dbt metric is now a first-class citizen with a complete profile in Atlan. Data teams can find and verify metrics, assign owners, personalize access, attach documentation, track changes, find downstream assets, and more.
• Metrics querying: With Atlan’s Visual Query Builder, non-technical data users can now query dbt metrics — democratizing data and reducing dependencies on analytical and data engineers.
• End-to-end, column-level data lineage: Atlan uses automated SQL parsing to create end-to-end, column-level lineage for all dbt transformations. This shows how each dbt model affects not just upstream warehouses but also downstream BI reports and dashboards.
• Activating metric context into BI: With Atlan’s Chrome extension, dbt metadata is now accessible in downstream BI tools like Looker and Tableau.

This new partnership and integration comes on the heels of Atlan’s major launch, featuring a complete redesign and slate of brand-new features, integrations, and partnerships. Atlan was also recently named a Leader in The Forrester Wave™: Enterprise Data Catalogs for DataOps, Q2 2022.

Learn more

• Visit Atlan’s website
• Take a virtual tour of Atlan’s product
• Learn more about Atlan and dbt Labs’ partnership
• Visit the technical documentation for Atlan’s dbt integration

About Atlan

Built by a data team for data teams, Atlan is the active metadata platform for modern data teams. Atlan creates a single source of truth by acting as a collaborative workspace for data teams and bringing context back into the tools where data teams live. Atlan features deep integrations across the modern data stack, including Slack, Snowflake, dbt Labs, Redshift, Looker, Sisense, and Tableau. A pioneer in the space, Atlan was named a Leader in Forrester Wave: Enterprise Data Catalogs for DataOps and was recognized by Gartner seven times in 2021, including as a Cool Vendor in DataOps and in the Inaugural Market Guide for Active Metadata Management. It recently raised a Series B and is backed by top investors and leaders in the modern data stack (including Insight Partners, Sequoia, Salesforce Ventures, and founders & CEOs from Snowflake, Looker, and Stitch).

For more information, visit www.atlan.com or follow us on Twitter at @atlanHQ.

Contacts

Surendran Balachandran

surendran@atlan.com
+16036867015