The data foundation your AI is waiting for

dbt moves your transformation logic into the warehouse — governed, versioned, and built to scale. If your team is doing that work in Alteryx today, there's a better path.

Trusted by leading data teams worldwide

Affirm
Nasdaq
Canva
Duolingo
TaskRabbit
GitLab
Hubspot
jetBlue
Air New Zealand
Thermo Fisher Scientific
Conde Nast
Vestas
Altis Consulting
Domain
New Relic
Anheuser-Busch Group
Hotelbeds
CHG Healthcare
Talkdesk
Virgin Media

Built for modern transformation — not legacy pipelines

dbt is purpose-built for the analytics transformation layer: the business logic, joins, and aggregations that feed your BI, finance reporting, and AI initiatives.

Warehouse-native execution

dbt pushes compute to where the data already lives. No more moving data out of your warehouse to transform it, then back in — every hop you eliminate is latency, cost, and a failure point removed.

Governed, collaborative assets

Every transformation lives in version control with built-in testing, CI/CD, and lineage. What was one person's brittle workflow becomes a shared, auditable asset your entire team can understand, change, and trust.

A foundation AI can reason over

AI initiatives stall without clean, shared, documented semantic definitions. dbt's semantic layer gives your models — and your AI — a single source of truth for metrics, business logic, and data contracts.

Governance & collaboration

Stop inheriting workflows only one person understands

Personal, undocumented logic breaks when source data changes and the analytics engineer who built it isn’t available to explain it.

dbt turns transformation work into a team asset. Every model lives in version control with built-in testing and lineage, so anyone can understand, change, and ship safely — and see what breaks downstream before it does.

AI-assisted transformation

Give analysts a seat at the table without losing control of the data

Not everyone on your team writes SQL — and they shouldn’t have to. dbt Wizard lets analysts describe the change they want in plain language, proposes the SQL, and surfaces a diff for review before anything touches production.

That’s a modernization — not a migration.

Why dbt

Ready to modernize your transformation layer?

The goal isn’t to rip out everything you’ve built. It’s to identify which workflows belong in the warehouse — governed, version, AI-ready — and start there.

A dbt expert will help you map your current footprint, prioritize the highest-impact workloads to modernize, and leave with a plan you can actually act on.

Identify transformation work vs. operational automation

See how dbt Wizard lowers the barrier for analyst-built transformation

Get a modernization roadmap — not just a product demo

Whether you’re actively evaluating or just starting to feel the friction, this is the right conversation to start.

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