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dbt Labs acquires SDF Labs to accelerate the dbt developer experience

The two teams are already working side-by-side to bring SDF’s SQL comprehension technology into the hands of dbt users everywhere. SDF will be a massive upgrade to the very heart of the dbt user experience moving forward.

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Your data, trusted and AI-ready

Discover how dbt pipelines, testing, and governance lay the foundation for analytics and AI—featuring live demos of dbt Fusion in VS Code and across the platform.

Infinity loop diagram illustrating the Analytics Development Lifecycle (ADLC), showing key stages from develop and test to deploy, plan, analyze, operate, observe, and discover.

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

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

50%faster to deploy new models, using incremental models
10%faster troubleshooting, using lineage graph
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