Visual pipelines that run on Snowflake compute.
Build the workflows your team has been writing as one-off scripts — schedule, transform, alert, sync. Compose triggers, core actions, and integrations on a canvas; every node runs against your warehouse.
Orchestrators that don't know Snowflake exists.
Airflow, Prefect, Dagster — they all run on someone else's compute. They pull data out, transform it, and push results back. You pay for egress, external workers, and a second copy of your access model. The DAG is a black box your data team can't easily debug.
SnowFlow runs every node as a Snowflake Stored Procedure. Your warehouse is the execution engine. Your role grants are the security model. The "infrastructure" was already there.
Drag-and-drop node graph
Triggers, core actions, integrations — composed visually. Each node maps to a parameterized stored procedure your data team can inspect.
Runs on your warehouse
Pick the warehouse, set the concurrency, watch the spend. SnowFlow never spins up external compute.
Inherits your Snowflake roles
Workflows run as the role you assign. Granting a workflow access is the same RBAC you already do for analysts.
Executions log with full lineage
Every run captures inputs, outputs, query IDs, and retry trail. Debug-able like a Snowflake worksheet, not like a black-box DAG.
Stop paying for tools that pull your data out of Snowflake just to put it back.
15-minute read-only setup. Talk to the team about a 30-day evaluation on your real warehouse.