From raw data to trusted AI: What dbt Is bringing to Google Cloud Next

If you’re heading to Google Cloud Next this year, we’d love to show you what we’ve been building at dbt. Think of this as a quick preview before you stop by the booth.

Build a trusted data foundation

Great analytics starts with data you can trust. That’s why dbt works directly with Google BigQuery, AlloyDB, and BigLake to organize SQL transformations where your data already lives.

But we don’t stop at transformations. dbt adds the layers that turn raw pipelines into reliable systems. Documentation helps your team understand what’s happening. Version control keeps everything accountable. Testing ensures your data is actually correct. The result is a foundation your team can build on with confidence.

One data platform, finally

Data teams have been juggling too many tools for too long. With open table formats like Apache Iceberg, your data can flow seamlessly across BigQuery and Spark without being locked in.

On top of that, dbt’s Semantic Layer creates a single source of truth for metrics. No more debating definitions across dashboards or teams. Everyone works from the same logic, whether they are writing SQL, building dashboards, or training models.

It is a simpler way to think about your stack. One platform. Shared definitions. Less friction.

AI-powered analytics development that actually works

AI is only as good as the foundation behind it. dbt’s Analytics Development Lifecycle (ADLC) brings structure to how teams build with AI so results are accurate and production-ready.

At the booth, you’ll see how dbt fits directly into your workflow with a dbt VS Code extension, powered by dbt’s MCP server and integrated with Google’s Antigravity IDE. This means you can develop, test, and iterate without leaving your environment, while still taking advantage of everything dbt knows about your data.

Here’s a few dbt Platform features which make that possible:

• dbt Catalog helps you visualize exactly what agents and LLMs are building, so nothing feels like a black box.
• Semantic Layer gives AI access to well-defined metrics, improving accuracy and consistency.
• Advanced CI lets you preview every change to your data before it ships, making review simple even when AI is involved.
• State-aware orchestration with Fusion ensures all of this runs efficiently, so you get powerful results without unnecessary spend.

Put together, these pieces make AI development not just possible, but practical for real enterprise use cases.

We’re excited to show all of this in action at Google Next.

Find us at Booth #6606

We'll be at Booth #6606 at Google Cloud Next, April 22–24 in Las Vegas. Come find us to:

• See live demos — If you are new to dbt view the standard on data transformation. There will be a demo dbt Platform alongside AI, including our VSCode extension, Semantic Layer, Catalog, Advanced CI, and Fusion orchestration.
• Book a meeting — Schedule a 1:1 with a dbt expert to dig into how dbt can help with your BigQuery infrastructure initiatives
• Enter our raffle — Stop by for a chance to win Apple AirPods Max (winners announced April 24 at 12:00 PM PT)

Join our afterparty

Kick off the week with us! dbt Labs, Fivetran, and 66degrees are hosting an exclusive afterparty at Eyecandy Lounge on the Mandalay Bay Casino floor on Wednesday, April 22, from 6:30–10:00 PM. Come for the music, cocktails, and elevated bites, and stay for the conversation. Secure your spot.