Simplify your data pipeline deployments.
dbt provides the easiest, most reliable way to automate your pipelines from development to production.
Seamless deployments for reliable data pipelines.
The deploy phase of the Analytics Development Lifecycle (ADLC) ensures high-quality data reaches production consistently, automatically, and reliably. With dbt, you can schedule jobs, trigger runs on merges, or integrate with external tools to keep your data pipeline running smoothly.
Learn how automated deployments, performance insights, and orchestrated exposures help teams optimize workflows and keep data fresh.
Automate and orchestrate your pipelines to support decision-making.
Stay in control whether you're managing complex data models or coordinating multiple teams. Easily schedule and orchestrate workflows across different environments to ensure smooth transitions from development to production.
Reliable, timely data
Keep production data consistently fresh and accurate, ensuring that your BI tools and end users always have the latest insights for informed decisions
Increased visibility and control
Gain insights into deployment health, identify issues quickly, and proactively optimize your data models and pipelines for better reliability and performance
Efficient collaboration and CI/CD
Ensure your continuous integration (CI) and continuous deployment (CD) workflows run smoothly, promoting tested code from development to production
Powerful features power reliable deployments.
dbt offers comprehensive deployment capabilities to automate, manage, and scale your data pipelines.
Ensure data freshness in even the most complex workflows. Visualize and orchestrate downstream exposures to understand how models are used in downstream tools and proactively refresh the underlying data sources during scheduled dbt jobs
Deploy your data pipelines with dbt.
dbt is how modern data teams ship and scale trusted data—from first model to federated data mesh
Proven by the best in data.
Leading organizations rely on dbt to improve data quality and velocity.
Siemens implements a data mesh architecture at scale with dbt Cloud
Already in our first dbt Cloud project we were amazed by the seamless collaboration dbt Cloud offers, allowing us to effortlessly work together on the same Snowflake project. With built-in tests, simple job scheduling, and easy deployment, dbt Cloud enabled us to immediately focus on the business case rather than spending time on our data architecture setup.
Rebecca Funk, IT Business Partner
Deploy your pipelines with confidence
Defer to production
Learn more about how you can save time and computational resources with the defer command.
Visualize and orchestrate downstream exposures
Automatically generate exposures from dashboards and proactively refresh the underlying data sources (like Tableau extracts) during scheduled dbt jobs.
Start deploying with dbt.
Automate and scale your data pipelines effortlessly with dbt—from development to production.
Great data professionals never work alone
The dbt Community connects you with 100,000+ data professionals—people who share your challenges, insights, and ambitions.