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Latest news

dbt Labs and Fivetran unite to power open data infrastructure

Discover how dbt Labs and Fivetran are building the foundation for trusted, AI-ready analytics.

Resource

Unlock tomorrow’s AI initiatives with the Analyst Revolution report

Explore how analysts are redefining the role of data in AI-driven organizations—and what that means for your business today.

Research

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.

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.

Get to know dbt

dbt makes data transformation easier, faster, and less expensive, enabling your team to deliver reliable data that you can trust — and trace.

With dbt you can:

  • Build analytics code modularly — using just SQL or Python — and automate testing, documentation, and code deploys
  • Track code changes and keep data pipelines flowing and performant with built-in, Git-enabled version control
  • Debug pipeline issues fast with built-in logging and alerting
  • Write models once and deploy them across any number of environments

Equip your team for success with dbt

Access templates, training materials, and expert tips to onboard and upskill your team. This ensures that everyone, from analysts to executives, is aligned on data goals.

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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Join 100,000+ data professionals

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.

Real-world advice, fast
Global meetups & groups
Career growth & job listings