# The rise of dbt

DevFeed: [The rise of dbt](<https://devfeed.tech/articles/the-rise-of-dbt-82591.md>)

Original publisher: [Read original article](<https://omni.co/blog/rise-of-dbts>)

Author: Colin Zima

Published: 2022-07-12T16:00:00Z

Content type: opinion

Language: en

Sources: [Omni Blog](<https://devfeed.tech/sources/omni-blog.md>)

Topics: [BigQuery](<https://devfeed.tech/topics/bigquery.md>), [data observability](<https://devfeed.tech/topics/data-observability.md>), [cloud cost management](<https://devfeed.tech/topics/cloud-cost-management.md>)

Tags: [bigquery](<https://devfeed.tech/tags/bigquery.md>), [database](<https://devfeed.tech/tags/database.md>), [dbt](<https://devfeed.tech/tags/dbt.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [etl-pipelines](<https://devfeed.tech/tags/etl-pipelines.md>), [growth](<https://devfeed.tech/tags/growth.md>), [omni-business-intelligence](<https://devfeed.tech/tags/omni-business-intelligence.md>), [snowflake](<https://devfeed.tech/tags/snowflake.md>)

## AI overview

The article explains dbt's SQL-based approach, open-source community, and role in cloud data warehouse workflows. It argues that dbt's model can leave a gap between transformed data and end-user consumption, and discusses balancing readily available data with progressively refined models, analytics, and performance optimization.

## Source excerpt

dbt has been the most significant improvement to the cloud data warehouse since the growth of Snowflake and BigQuery. We take a look at the rise of dbt, what makes it so powerful and the right ways to complement dbt in the data stack.