Smarter pipelines, 29%+ warehouse savings: How the dbt Fusion engine drives more cost-effective data ops

Data teams waste hundreds of hours every year refreshing models that haven’t changed. This is a significant time and trust drain on practitioners, and it can unnecessarily drive data platform costs through the roof.

The dbt Fusion engine changes that equation. In testing, it’s delivered 29%+ reductions in warehouse usage by running only what’s changed, optimizing test execution, and using advanced configurations to eliminate unnecessary model runs — cutting wasted compute without compromising freshness or reliability.

In this virtual event, you’ll learn how teams are using Fusion to:

• Significantly reduce warehouse and platform costs by eliminating redundant work
• Run pipelines that are leaner, faster, and more predictable
• Deliver more reliable data through simplified, centralized orchestration
• Improve the developer experience with faster iterations, better debugging, and clearer lineage
• Support business growth with smarter build strategies that scale

You’ll also hear from Obie Insurance and Analytics8 as they share how they’re modernizing with Fusion, including how:

• Obie is seeing ~30% model reuse with state-aware orchestration — resulting in meaningful compute savings
• Both teams are streamlining development and reducing redundant work
• They’re exploring Fusion as a way to lower platform costs and simplify their data operations

Meet the speakers:

Patrick Vinton

CTO

Analytics8

Tyson Dobernek

Senior data engineer

Obie Insurance

Matt Karan

Senior data engineer

Obie Insurance

Reuben McCreanor

Product manager

dbt Labs