Drive governance with dbt

Simplify complex systems and produce faster with the new playbook for data management.

Focus on strategy, not maintenance

Invest in dbt to centralize governance and safely distribute access — for a more collaborative, trusted, and effective team.

Workflow governance

Allow data analysts and engineers to standardize on the same platform, with a single source of truth for metrics.

Role & access governance

Control who can ship changes and make sure that only high-quality transformations make it to production.

Data governance

Limit errors and make auditing a breeze with auto-generated docs, version control, integrated testing, and visual lineage.

Accelerate speed to insight

End siloed processes where analysts make the case for new data, and engineers add the request to a weeks-long backlog. You can’t scale analytics that way. dbt is a trusted platform that makes building data systems collaborative and agile, instead of a disjointed hand-off.

Advance data democracy

Protect data models and pipelines with built-in guardrails — like audit logs, job fail notifications, and fine-grained access control. dbt provides these features out-of-the-box, so engineers can focus on high-value work, and analysts can self-serve insights quickly and safely.

Optimize your platform

Make the most your cloud data platform by using software development best practices — like version control, testing, CI/CD, and auto-documentation — for data transformations. dbt adds more efficiency, governance, and standardization to your data team’s work.

Build trust with business

Add transparency to your data development process with a visual DAG and templated IDE. Embedded governance makes it easy to understand the lineage of data transformations and add in a DataOps process for higher data quality, accurate results, and reliable reporting.

Trusted by the best in data.

Leading organizations rely on dbt to build modular, governed, high-performing data ecosystems.

Pepperstone

Pepperstone creates data their 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 Ellett, Lead 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 Customer Study

Start building with dbt

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