You're one step closer to better governed data for AI.
Most AI projects fail without structured, governed data. Discover the frameworks and practices leaders use to turn AI ambition into business impact.
Conversational analytics, grounded in trust
Learn how dbt brings structured context to conversational analytics so AI delivers answers teams can actually rely on.
2025 State of Analytics Engineering Report
Uncover the latest trends shaping analytics engineering in 2025. From team structures to AI adoption, this report shares insights from 1,000+ data professionals to help you benchmark, adapt, and stay ahead.
Build analytics that scale without the cost
See how dbt Fusion helps teams improve performance and control costs as analytics workloads grow.
Streamline your analytics workflow with ADLC
Building reliable, scalable analytics starts with a strong development process. Learn how the Analytics Development Lifecycle (ADLC) streamlines collaboration, ensures data quality, and accelerates insights—empowering your team to work smarter with dbt.
Data teams love dbt
Explore how dbt Labs has helped clients achieve better outcomes, increase efficiency, and grow their businesses.
AXS delivers business value with an analytics engineering workflow
dbt Cloud is great because it’s so approachable. You can log in on your browser, select a project, and start building models right away. You can build things with native SQL that you’d think were only possible with Python or a more object-oriented language. The SQL-first approach creates commonality among the tech teams, improving communication and collaboration.
Michael Colella, Senior Director of Data & Analytics
Great data work never happens alone.
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