dbt

Your One dbt journey starts here

Our team will reach out to you soon. Prepare for your personalized demo by signing up for a free dbt Cloud account and exploring these resources.

Start the conversation strong — see why teams choose dbt Cloud

Discover how leading organizations boost data delivery speeds by up to 20x and reduce inconsistencies by 80% with dbt Cloud.

ADLC Whitepaper cover

Equip your team for success with dbt Cloud

Access templates, training materials, and expert tips to onboard and upskill your team. This ensures that everyone, from analysts to executives, is aligned on data goals.

Get to know dbt Cloud

dbt Cloud makes data transformation easier, faster, and less expensive, enabling your team to deliver reliable data that you can trust — and trace.

With dbt Cloud you can:

  • Build analytics code modularly — using just SQL or Python — and automate testing, documentation, and code deploys
  • Track code changes and keep data pipelines flowing and performant with built-in, Git-enabled version control
  • Debug pipeline issues fast with built-in logging and alerting
  • Write models once and deploy them across any number of environments

Real-life success stories

Explore how dbt Labs has helped clients achieve better outcomes, increase efficiency, and grow their businesses.

Browse real case studies
Pepperstone

Pepperstone creates data decision makers can rely on

“Trust is so important because we are the experts in data analysis. And if you have a good level of trust, your insights are more likely to be robustly discussed.”

Sam EllettLead Data Scientist
30% increased speed to delivery through lineage, data democracy, and a new streamlined workflow
80% decrease in inconsistent reports thanks to easier troubleshooting and tested sources and models
Read case study
JetBlue

JetBlue eliminates data engineering bottlenecks with dbt

"The new workflow with dbt and Snowflake isn't a small improvement. It's a complete redesign of our entire approach to data that will establish a new strategic foundation for analysts at JetBlue to build on."

Benjamin SingletonDirector of Data Science & Analytics
99.9% uptime of the data warehouse and pipelines
3 month migration of 26 data sources & 1200 models to dbt
Read case study
Nasdaq

Nasdaq’s route to the modern data stack

“Before, 9 out 10 times the sales and executive team had to wait months to receive a data point they requested. By then, the data wasn’t relevant anymore or the new business was already lost.”

Michael WeissSenior Product Manager
100-125 billion transactions operated per day
55 business users onboarded to modeling and reporting
Read case study