Product News

Catch up on the newest releases from the dbt Labs product team

Sharing a little more on our plans for the dbt Semantic Layer.

With v1.2, we've made it easier to manage who (and what) can read the tables and views dbt creates in your warehouse.

Where we started... and where we're headed.

A few words on the Cloud IDE, and how we’re planning to improve your experience in the coming months.

Read this blog post to learn how dbt re-architected its scheduler to meet greater demand in dbt Cloud.

Ongoing incidents with dbt Cloud have created slowness and lack of availability. Here is a recap of what happened and our plans to fix this....

Last year we placed a big bet on foundational work — stability, reliability, and speed. 12 months, and a 600% increase in enterprise business later,...

dbt Core v1.0.0 has arrived. This major milestone enables users with production-grade workflows to safely and reliably build on top of dbt Core for years...

dbt Labs now offers five free courses for the emerging analytics engineer. Those new to dbt will find everything they need to get started (and...

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

Choosing between continuous delivery and continuous deployment based on business needs

It's finally (almost) here. The best way to get ready is by upgrading *now* to the latest & greatest that dbt Core has to offer...

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...

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,...

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...

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

Read this blog post to learn about the future of Fivetran and dbt.

Two amazing companies in the modern data stack–Fivetran and Census–have launched major integrations with dbt. Here's why I'm excited about this.

dbt v0.14.0 lays the foundation for dbt Develop -- a query editor which leverages the brand new dbt server.

We just finished hosting the first dbt Learn. Here's why we did it, what we learned, and how you can get on board for the...

The Fishtown Analytics team is incredibly excited to announce that we’ve re-launched Sinter as dbt Cloud!

Sinter just became dbt Cloud. Why the re-brand?

In dbt’s latest release, we made some significant changes to how dbt processes these DAGs, and we’re seeing that these changes make dbt projects run...

The hardest thing about scaling a company is communication. Here's how our latest release will make data communication just a little bit easier.

The newest release of dbt, v0.11, ships with a built-in data documentation website for your dbt project.

dbt 0.10.2 introduces data model aliasing to help you maintain a more organized data warehouse design.

Sinter is the best way to deploy dbt in production at most organizations. It features rich scheduling functionality, accessible run logs and error alerting, and...

Today, March 9th, 2018, dbt turned two years old. Wow. Here's where we've been and where we're heading.

dbt version 0.9.1 adds support for late binding views in Redshift. This post will explain late binding views and explore some potential uses

We’re thrilled to announce the release of dbt version 0.9.0, including support for pivoting out columns and ignoring incongruent tables.

dbt (data build tool) enables data analysts and engineers to transform data in their warehouses.

How to create historical records in your database using dbt data logs.

dbt, our open source product for data modeling, is SQL-only. SQL can, by itself, accomplish a majority of analytical (non-data science) workloads.

When a software engineer starts on a new project, her first step is almost always to survey the ecosystem of open source software that exists...

Over the past year, I and the folks at RJMetrics have had the opportunity to observe, and participate in, a significant evolution of the analytics...