Are you ready for the dbt Fusion engine?

This guest post comes from Michael Carlone at Brooklyn Data.

The dbt Fusion engine raises the ceiling on what data teams can build, and how fast they can build it.

Fusion delivers faster, more responsive dbt development. It catches SQL errors in your IDE before anything hits the warehouse, and gives AI coding tools the project context they need to generate accurate code.

For most organizations, the question is not whether Fusion is valuable. It is whether their current foundation can support the move successfully.

That is why Brooklyn Data built a Fusion Readiness Assessment. It helps teams evaluate what has to be true across their project, their delivery practices, and their team structure to migrate with confidence instead of guesswork.

Why readiness matters now

Without the dbt Fusion engine, teams working with dbt often rely on warehouse compute just to catch issues that are relatively small: syntax errors, broken references, and type mismatches. That slows development down and adds cost to work that is often just part of normal iteration.

Fusion improves that loop by giving teams faster feedback as they work. The result is a development experience that feels quicker, more responsive, and better suited to the way modern analytics teams build, and is designed for an agentic development experience.

That upside is exactly why readiness matters. A move to Fusion does not only test the engine. It also tests the broader system around it: project design, development and deployment habits, governance, ownership, and technical depth.

What “Fusion ready”‌ means

Brooklyn Data defines Fusion readiness in a simple way: you are Fusion ready when you have confidence that your data foundation can support the move smoothly, securely, and at scale.

That confidence should not come from instinct alone. It should come from a clear view of how your organization works today and where migration friction is most likely to appear.

That is also why readiness is not a universal checklist. Every data team operates with a different level of maturity, a different tolerance for change, and a different mix of technical and organizational complexity. A good assessment should reflect these realities.

How the assessment works

Our assessment looks at readiness across three pillars: Project, Process, and People. We use these three because, in practice, they shape the outcome of nearly every dbt migration.

Looking at all three pillars helps teams avoid blind spots. Migration risk rarely lives in one place, and focusing only on the dbt project itself can cause teams to miss process gaps, unclear ownership, or concentrated expertise that could slow the migration once technical work begins. Even when the technical foundation is ready, the transition can still become harder to manage if deployment practices are inconsistent, governance expectations are unclear, or key knowledge sits with only a few people. Assessing Project, Process, and People together gives teams a more complete view of what needs attention before they move forward.

Project

Within Project, we look at the technical patterns that affect migration complexity. That includes how standardized the project is, how much custom logic is in play, how heavily the team relies on advanced features, and whether the broader foundation reflects dbt best practices.

Process

Within Process, we look at governance, delivery, and repeatability. Can the team develop, review, deploy, and govern work in a way that reduces risk? Are the workflows consistent enough to support change without introducing avoidable instability?

People

Within People, we look at organizational clarity and depth. Does the team know who owns what? Do they have the hands-on knowledge required to support a migration? Is the organization positioned to learn, adapt, and handle issues without over-relying on a single person?

Each pillar is assessed, quantified, and then rolled into an overall Fusion Readiness score. The goal is to make the output easy to understand and useful in conversation, not to create a false sense of precision.

In practice, the assessment is meant to answer a short list of planning questions:

• How ready are we today?
• Where is migration friction most likely to show up?
• What should we focus on first?
• What should improve before we reassess?

Why the pillars need to be read together

The assessment looks at Project, Process, and People separately, but the real value comes from reading them together.

A dbt project may be technically mature, but if delivery practices are inconsistent, migration can still become harder to manage. A team may have established governance and release patterns, but if ownership is unclear or hands-on expertise is uneven, execution can still slow down. And a capable team should not have to compensate for project issues that could be surfaced and addressed earlier in the process.

That is why we do not treat any one pillar as the answer. Fusion readiness is shaped by how the technical foundation, the operating model, and the team support one another. Looking at them together gives a more realistic view of where migration will be smooth, where friction is likely to appear, and where focused improvement will have the biggest impact.

What the output helps teams do

The value of the assessment is not just the score. It is the interpretation behind it.

When the results come back, teams can see where readiness is more established, where there are gaps to address, and what should be prioritized before moving forward. In some cases, that may point to project cleanup. In others, it may highlight process refinement or the need for clearer ownership and broader hands-on expertise.

That makes the output useful at multiple levels. Practitioners get a clearer view of the technical and operational work that will reduce migration friction. Leaders get a shared language for planning, prioritization, and risk management. Instead of relying on instinct or general enthusiasm, teams can make decisions based on a more complete view of their starting point.

A good readiness assessment does not just tell you where you stand. It helps you decide what to do next.

Fusion is the destination. Readiness is the roadmap.

Fusion represents a meaningful step forward for dbt teams. The speed improvements are real. The developer experience is materially better. The long-term upside is clear.

But the teams that will benefit most are not the ones that move first. They are the ones that understand what they are moving from, what needs attention before the transition, and how to make that move with confidence.

That is the role of readiness. Our Fusion Readiness Assessment helps teams take that first look inward, quantify what matters across Project, Process, and People, and turn that picture into a more practical migration plan.

If your team is thinking seriously about Fusion, the smartest first step is not to assume readiness. It is to assess it.

Want to know your Fusion Readiness score?

We can walk through the assessment with your team, quantify readiness across the three pillars, and identify the next steps that will make a migration smoother and lower risk.

Measure your readiness here