Video
FEATURE
dbt Projectson Snowflake
Run dbt pipelines directly in Snowflake with no external orchestration required. Manage runtime, preserve dbt Core compatibility, and connect to built-in observability, column-level lineage and agentic AI workflows.
Offload dbt infrastructure to Snowflake
Upload your dbt project. Snowflake provisions compute, manages upgrades and handles execution.
Schedule dbt models with native Snowflake Tasks
Build and schedule dbt model pipelines using the same Snowflake Tasks you already run, without switching tools or managing cron jobs.
Observe all transformations, including column-level lineage
Track how data moves across every dbt model and Snowflake object. Column-level lineage shows exactly which columns a model reads from or writes to.
Agentic authoring
Build AI-ready dbt pipelines with Snowflake CoCo
Write dbt models, tests and documentation from natural language. Describe a modeling task and Snowflake CoCo produces the YAML, Jinja macros and test scaffolding. Your pipelines are structured for downstream AI from day one.
NATIVE SCHEDULING
Schedule dbt models with Snowflake Tasks
Snowflake Tasks run your dbt models on a schedule or when upstream data arrives. No third-party scheduler, no additional infrastructure. Your dbt DAGs run on the same compute and scheduling system as the rest of your Snowflake workloads.
COLUMN-LEVEL LINEAGE
Track every dbt model run, down to the column
When a model fails or you need to audit your pipeline, Snowflake Horizon shows which columns moved where. See how raw tables flow through each model into marts and views, with column-level tracing that shows which columns each model reads from and writes to.
NEWEST VERSIONS
Onboard teams with the dbt versions they want
With parity across dbt Core versions, the same dbt code runs locally or in Snowflake without modifying it. Support for dbt Fusion is included with no additional licensing needed.
How dbt Projectson Snowflake works
Build and test your project
Bring existing dbt projects in Snowflake Workspaces or build new projects with Snowflake CoCo.
Deploy your project
Snowflake handles compute provisioning, runtime management and version upgrades. Your team writes the models; Snowflake manages them.
Schedule with Tasks
Use Snowflake Tasks to orchestrate dbt model runs on a schedule or trigger them based on data arrival.
Monitor with Horizon
Snowflake Horizon captures column-level data flows and observability data automatically, giving you a complete view of every pipeline. Use Snowflake CoCo to inspect and debug production issues.
dbt Projects on Snowflake
Frequently AskedQuestions
Get answers to common questions about dbt Projects on Snowflake, including how it compares to open source dbt Core.
What is dbt Projects on Snowflake and how does it differ from dbt Core?
dbt Projects on Snowflake is a native dbt experience built directly into Snowflake. Unlike dbt Core, which you manage yourself, dbt Projects on Snowflake runs on Snowflake’s infrastructure. Snowflake manages the runtime, provides you versioned support, and connects your transformations to built-in observability, lineage and task scheduling.
How do I schedule dbt Project runs on Snowflake?
dbt Projects on Snowflake integrates natively with Snowflake Tasks. You can schedule a full project execution or target specific models using standard Snowflake Task DDL — no external orchestrator required. This keeps your pipeline scheduling inside Snowflake, alongside your data and lineage.
Which versions of dbt Core are supported?
dbt Projects on Snowflake maintains parity across dbt Core versions. You can run the same dbt code locally or on Snowflake without modification.
Can I use my existing dbt Core project with dbt Projects on Snowflake?
Yes. dbt Projects on Snowflake is designed for teams already using dbt Core or dbt Cloud. You can upload your existing project directly into Snowflake. Most projects require no changes to your models, tests or macros.
How does observability work for dbt Projects on Snowflake?
Every dbt model run inside Snowflake feeds lineage data directly into Snowflake Horizon. You get table-level and column-level lineage automatically, without additional configuration. Monitor run status, durations and errors from Snowsight.
Does dbt Projects on Snowflake support the dbt Fusion engine?
Yes. The dbt Fusion engine is available for dbt Projects on Snowflake. Fusion uses a new compilation architecture that can significantly reduce build times on large dbt projects.
