Tame complexity. Empower your data team.
Choose the dbt platform for a solution that scales, and let your team focus on building data products instead of maintaining infrastructure.
Build data transformations
| dbt Core | dbt Fusion | dbt Platform | |
|---|---|---|---|
SQL-first transformations Define business logic in modular SQL code | |||
Built-in testing Improve data trust with a built-in testing framework | |||
Documentation Written as you develop and make changes | |||
CLI support Develop using your terminal or IDE of choice | |||
dbt Fusion engine support Choose Fusion for lightning-fast performance, next-gen dev experience, built-in cost savings (*beta) |
Manage chaos and complexity
| dbt Core | dbt Fusion | dbt Platform | |
|---|---|---|---|
dbt Catalog Discover, understand, and optimize data products across the business | |||
dbt Mesh Allow domain teams to own their own dbt projects—including across various data platforms | |||
dbt Semantic Layer Centralize business logic and create consistency in metrics across AI and analytics tools | |||
Continuous integration (CI) Validate modified code in a staging environment—after visualizing its impact | |||
Logging and alerting Increase debugging velocity and data trust | |||
dbt Metadata API Provide rich dbt-native context for data health, integrations, AI systems, and more | |||
Native job orchestration Put your dbt models into production on a schedule from a browser-based UI |
Democratize access, responsibly
| dbt Core | dbt Fusion | dbt Platform | |
|---|---|---|---|
dbt VS Code extension Use the official dbt VS Code extension, powered by the Fusion engine (*beta) | |||
dbt Studio IDE Browser-based IDE that provides a lower barrier to entry for creating organizational knowledge | |||
dbt Canvas Build and explore dbt models via drag-and-drop UX tailor-made for data analysts | |||
dbt Insights Turn questions into insights, instantly, with an AI-powered analysis tool | |||
dbt Copilot Use context-aware AI to quickly generate documentation, inline SQL, data tests, & semantic models | |||
dbt MCP server Bring structured data and trusted context to your AI workflows (*beta) | |||
Automated version control Git enabled out-of-the-box for improved collaboration |
Optimize data platform costs
| dbt Core | dbt Fusion | dbt Platform | |
|---|---|---|---|
State-aware job orchestration Only build models with refreshed upstream data (*beta) | |||
Cost Management dashboard Identify inefficiencies and optimize data platform costs | |||
Defer to production Avoid re-building assets already in production, saving time and money |
Enhance security & governance
| dbt Core | dbt Fusion | dbt Platform | |
|---|---|---|---|
RBAC / SSO Connect with your authenticator of choice and seamlessly govern access | |||
Audit logging Satisfy audit requirements and quickly isolate unexpected changes | |||
Advanced security Privately connect platforms, block IP addresses, specify deployment region, and more | |||
Enterprise support and training Makers of dbt provide premium support | |||
Guaranteed SLAs 99.95% uptime guarantee |
Reduce maintenance overhead
| dbt Core | dbt Fusion | dbt Platform | |
|---|---|---|---|
Cloud-native No infrastructure to manage | |||
Automatic dbt version upgrades Keep your team on the latest (or a recent) version of dbt, automatically |
Your data people have better things to do.
By removing the need for complex installs, deep technical training, and ongoing infrastructure maintenance, you can ensure your data team is focused on higher-level activities that advance the business—dramatically improving productivity and reducing data platform spend.
Trusted by thousands of leading data orgs
We’ve been one of the fastest companies in the world to adopt some of the most cutting-edge AI technologies and actually put them into production. That’s a direct result of solving our data quality problem with dbt. We had performance issues with a model that does 15 to 20 billion messages per day. The dbt Labs services team helped us solve that. The model took 45 minutes to an hour to run in a day, but they got it down to 10 minutes.
Matt Luzzi Senior Director of Analytics @WHOOP
The number one reason why we switched from the open source offering to dbt was the ability to more meaningfully collaborate across data teams and with business stakeholders
Jared Sout Head of Data Management @Sunrun
dbt enables you to have the dependencies, but running on Core, we lost sight of what breaks might occur if we push new code. Now the team can provide higher quality dashboards, with way less effort—our dashboard uptime is now at 95%.
Josh Carlson Director of Analytics @Code42
[With dbt] we don’t need to think about the underlying technical stuff and can instead focus on modeling our business concepts.
Cristian Ivanoff Data Engineer @McDonald’s Nordics
Start building with dbt.
See why thousands of companies rely on dbt to deliver trusted analytics to their business at scale.