GoKawiilRocky
The trust system for your data. A Rust-based control plane for warehouse pipelines: branches, replay, column-level lineage, compile-time safety, per-model cost attribution. Keep Databricks or Snowflake. Bring Rocky for the DAG.
Try it in 60 seconds
# macOS / Linux curl -fsSL https://raw.githubusercontent.com/rocky-data/rocky/main/engine/install.sh | bash # Windows (PowerShell) irm https://raw.githubusercontent.com/rocky-data/rocky/main/engine/install.ps1 | iex
rocky playground my-first-project cd my-first-project rocky compile && rocky test && rocky run
No credentials needed — the playground runs end-to-end on local DuckDB.
See it in action
Each demo below is a self-contained POC in examples/playground/pocs/ — cd in, run ./run.sh , reproduce locally.
Detects schema drift the moment it happens
A source column type changes upstream. On the next run, Rocky diffs source vs. target, drops the target, and recreates it. No silent data corruption, no dbt-style quiet divergence.
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