The standard for data transformation.
dbt turns data work into a shared, scalable practice by bringing software engineering to the analytics workflow. Powered by an engine built in Rust, dbt is built for speed, scale, and how teams and agents work today.
Turn raw data into reliable data products.
Create trusted data products that power analytics, operations, and AI.
Trusted by design
dbt brings modularity, testing, and version control to your transformations. It catches errors before warehouse execution and automatically generates rich metadata your agents can trust.
Open and flexible
dbt is grounded in open standards, runs on every major data platform, and works with the tools you already use—on your machine or in dbt platform.
Fast and cost-optimized at scale
dbt compiles projects in seconds and rebuilds only what’s changed, reducing developer wait time and compute costs.
Engineering rigor for analytics teams.
Write modular models as SQL SELECT statements that reflect your business logic, then reference them anywhere. Change the logic once and everything downstream inherits it.
Rebuild only what’s changed
With every run, dbt State checks your warehouse for changes in model SQL or data. It builds only what changed, and automatically skips the rest by reusing, cloning or auto-deferring. This allows you to simplify orchestration, iterate faster in governed dev environments, and save on warehouse compute.
Teams like Obie have seen up to 30% savings on compute and reclaimed engineering hours.
Context your AI agents can trust
dbt automatically generates structured, queryable metadata as you build: column-level lineage, types, and dependencies, formalized as the dbt information schema. Your AI agents work from your real project instead of guessing from stale docs, so the code they write matches your actual schema.
See dbt at work.
Compliance at scale. Trust at every layer.
Siemens used dbt to build modular, governed data pipelines across federated teams. The result: 100% compliance in a highly regulated environment—and a foundation ready for AI.
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
Trusted by top-tier data teams.
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Great data work never happens alone.
The dbt Community connects you with thousands of data practitioners, leaders, and learners—all solving real problems, sharing best practices, and growing their careers together.