Last year we placed a big bet on foundational work — stability, reliability, and speed. 12 months, and a 600% increase in enterprise business later, we're focused on establishing dbt as the default standard for all enterprise data teams.

Your code doesn't have to do the same thing everywhere it runs. Separate code from configuration - and set config based on context.

With the DAG-in-the-IDE (now available to all dbt Cloud users), analytics engineers can seamlessly navigate the core structure of their dbt project with low friction and low cognitive load, making the entire development process more intuitive, pleasant, and efficient.

Give your business teams access to transformed data in the tools they use every day. Hightouch now integrates with dbt to help you bring “Reverse ETL” to your stack.

Our friends at Materialize, the world’s first SQL-platform for processing streaming data, have officially launched a new dbt adapter, now available in open beta. Together, we’re opening the door for analysts to become first-class creators and users of streaming analytics.

This SQL-first integration with Databricks means that analysts can build fully automated data pipelines in the same space that data engineers & data scientists work in their preferred frameworks.

Staging is a ✨new✨ quarterly event that brings dbt users (that’s you!) into the product development lifecycle (where I spend my days 😅).

Spark for analytics, for real: now in dbt Cloud