Product News

Aaron Raff 16 Jun 2022

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

Nate Nunta 2 Jun 2022

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

Julia Schottenstein 27 Apr 2022

… just not a good one to keep! In this two part series you’ll learn how we rearchitected our scheduler to meet greater demand in dbt Cloud. For those looking for more technical detail, check out the second post, in which an engineer on this team breaks down the architecture we started with, the technical...

Connor McArthur 23 Feb 2022

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.

Sai Maddali 9 Dec 2021

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.

Alexis Wong Baird 7 Dec 2021

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 badged!) in our dbt Learn Fundamentals course, while seasoned users can go deeper on topics like macros, materializations, and project refactoring.

Julia Schottenstein 26 Oct 2021

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

Julia Schottenstein 30 Sep 2021

Choosing between continuous delivery and continuous deployment based on business needs

Jeremy Cohen 23 Sep 2021

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

Tristan Handy 19 Aug 2021

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.

Azzam Aijazi 28 Jul 2021

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.

Amy Chen 2 Jun 2021

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.

Amy Deora 4 May 2021

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.

Simon Ouderkirk 14 Jan 2021

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

Jeremy Cohen 12 Nov 2020

Spark for analytics, for real: now in dbt Cloud

Tristan Handy 14 Oct 2020

June 11, 2021 update – This post hasn’t aged as well as I would’ve hoped. George makes a strong statement in it: “Fivetran is not fundamentally a company that is focused on data transformation.” That statement appears to be less true today than it was in October of 2020. In a recent conversation, George indicated...

Tristan Handy 22 Sep 2020

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.

Drew Banin 10 Jul 2019

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

Erica Louie 9 Apr 2019

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 next one.

Drew Banin 16 Jan 2019

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

Tristan Handy 16 Jan 2019

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

Drew Banin 8 Jan 2019

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 about 30% faster.