Scale analytics without scaling costs.
dbt combines powerful SQL development, state-aware orchestration with Fusion, built-in governance, and trusted AI — so your team can ship faster with less overhead.
Built for modern data teams.
Meet with a dbt expert to get a personalized walkthrough of dbt. Whether you’re modernizing your data stack or scaling analytics across teams, we’ll show you how to build faster, more reliable data pipelines with dbt.
Why leading teams choose dbt:
Unlike legacy ETL tools, dbt brings software engineering best practices—version control, testing, CI/CD—directly into analytics workflows.
Centralizes your data logic in one place so teams stop rewriting transformations across pipelines and platforms.
Ensures consistency and trust by turning business rules into governed, reusable models instead of siloed SQL scripts.
Scales with your stack: dbt works natively with your cloud warehouse instead of duplicating compute or adding another proprietary layer.
Our users love us:



One platform. Every stage of your data lifecycle.
dbt supports every stage of the analytics development lifecycle (ADLC), from modeling to governance to AI-ready metrics.

dbt capabilities
dbt standardizes your approach to data modeling so you can ship trusted data faster. Learn how dbt capabilities help you transform data faster, cheaper, and more reliably.
Plan
Design and manage decentralized data models at scale with dbt Mesh. Define dependencies, enforce access policies, and maintain consistency across projects as your org grows.
Explore PlanDevelop
Studio IDE, VS Code extension, or dbt Canvas — write, test, and iterate in the interface your team prefers. Fusion delivers instant feedback and local SQL validation so you catch errors before they hit your warehouse.
Explore DevelopDeploy
State-Aware Orchestration skips models when source data hasn't changed — eliminating redundant compute and reducing warehouse spend. Schedule, monitor, and manage every job from one place.
Explore DeployTest & observe
Automated testing, CI/CD pipelines, and real-time data health monitoring give your team full visibility into pipeline health — before problems reach dashboards or AI outputs.
Explore Test & observeDiscover
Trace column-level lineage, explore model dependencies, and give analysts the visibility to find and trust data on their own with dbt Catalog.
Explore DiscoverAnalyze
Centralize metrics with the dbt Semantic Layer. Whether powering BI, self-serve analytics, or AI agents via the dbt MCP Server, your metrics stay consistent and governed at the source.
Explore AnalyzeWhat sets dbt apart
From the engine powering your pipelines to the AI your business depends on.

Built on the Fusion engine
dbt's next-generation Fusion engine delivers faster parsing, local SQL validation, and state-aware orchestration — so your team ships more with less compute. dbt Labs cut its own warehouse costs by 64% after migrating to Fusion.
Explore the dbt Fusion Engine
AI-ready by design
The dbt MCP Server connects AI agents directly to your governed Semantic Layer — so every AI-generated insight is grounded in verified business logic, not raw tables or tribal knowledge.
Explore dbt for AI
Governed self-service at scale
dbt Mesh and column-level lineage let analysts participate in data development without sacrificing governance. Consistent metrics, automated documentation, and access controls that scale with your org.
Explore governance with dbtReal teams. Real results.
Join 60,000+ teams using dbt to ship faster, cut costs, and power AI they can trust.
Trusted globally. Proven at scale.
97% customer satisfaction
Rated 4.8/5 on G2 by thousands of data leaders who trust dbt for critical analytics and AI initiatives

Enterprise-grade compliance

60,000+ teams
Over 60,000 teams worldwide rely on dbt, processing billions of data transformations with confidence
Named a Leader by Snowflake and Databricks
Recognized as Snowflake Data Cloud Partner of the Year and Databricks Customer Impact Partner of the Year







