dbt

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Deploy with confidence

Manage and scale your data pipelines from development to production with dbt Cloud.

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Automate and orchestrate your pipelines

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. With seamless integrations into data sources and downstream tools, dbt Cloud empowers you to develop efficiently and accelerate decision-making — without sacrificing data quality.

Data quality in dbt Cloud

Data quality

Deliver quality code and data to production on schedule

Ensure data freshness in even the most complex workflows. Schedule deployments on a cron schedule or on PR merge to update data in production on a timely basis. Auto-exposures and deployment insights enable you to proactively optimize models and detect downstream uses.

Scheduling

Embrace advanced scheduling capabilities and triggers

Schedule jobs on your terms — whether on a fixed timeline or triggered by events — and use features like defer to production to test development workflows efficiently and safely. You can also trigger a job from an external pipeline or orchestrator through the dbt Cloud API.

Advanced scheduling capabilities in dbt Cloud
Environment management in dbt Cloud

Environment management

Deploy multiple isolated deployment environments

Manage and deploy data workflows across separate development and staging environments to test and validate changes before promoting your data to production.

  • "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 FunkIT Business Partner, Siemens
  • "Before, we dedicated three to four weeks per year in maintaining Airflow and the different components of our stack, now we have near zero maintenance work. We don’t have issues with dbt or Stitch."

    Chandan SinghHead of Data, Rebtel
  • "With auto-exposures in dbt Explorer, it’s like going from a treasure hunt to having a treasure map. The native Tableau integration and auto-generated lineage help us see everything clearly, making impact analysis across hundreds of dashboards a breeze!"

    Rahavan RamanDirector - Data Engineering & Analytics, Zscaler

    Want to learn more?

    Check out these resources to find out how dbt Cloud can help you deploy your pipelines with confidence.

    Defer to production

    Learn more about how you can save time and computational resources with the defer command.

    Read more

    Trace root cause with column-level lineage

    Learn more about how to use column-level lineage in dbt Cloud to spot and fix pipeline issues fast.

    Read the blog

    Job chaining

    Automate your dbt DAG while optimizing compute spend.

    Read the blog

    Start building with dbt Cloud

    Streamline your data transformation process, reduce manual errors, and increase productivity with dbt Cloud. Sign up today and take your data transformation workflow to the next level.