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.
POC — 02-performance/06-schema-drift-recover
Enforces data contracts at compile time
Missing required columns, protected columns being removed, or unsafe type changes surface as diagnostic codes (E010, E013) before a single row is written.
POC — 01-quality/01-data-contracts-strict
Named branches for risk-free experiments
Create a branch, run against it in an isolated schema, inspect, then drop or promote. Column-level lineage shows the downstream blast radius before you ship.
POC — 00-foundations/06-branches-replay-lineage
Column-level lineage, not table-level
Trace a single column from a downstream fact back through its aggregations, all the way to the seed. Blast-radius analysis without reading every model.
POC — 06-developer-experience/01-lineage-column-level
AI model generation with a compile-validate loop
Describe what you want in plain English. Rocky generates a Rocky DSL model, compiles it, and retries on parse failure — the Attempts: 2 line shows the loop catching a first-pass error invisibly.
POC — 03-ai/01-model-generation
Subprojects
| Path | Artifact | Language | Description |
|---|---|---|---|
engine/ |
rocky CLI binary |
Rust | Core SQL transformation engine — 20-crate Cargo workspace |
integrations/dagster/ |
dagster-rocky PyPI wheel |
Python | Dagster resource and component wrapping the Rocky CLI |
editors/vscode/ |
Rocky VSIX | TypeScript | VS Code extension — LSP client + commands for AI features |
examples/playground/ |
(config only) | TOML / SQL | Self-contained DuckDB sample pipeline used for smoke tests and benchmarks |
Each subproject has its own README with detailed usage. The engine/README.md is the canonical product reference for the Rocky CLI.
Building from source
git clone https://github.com/rocky-data/rocky.git cd rocky just build # builds engine + dagster wheel + vscode extension just test # runs all test suites just lint # cargo clippy/fmt + ruff + eslint
just is optional — you can also build each subproject directly. See CONTRIBUTING.md for per-subproject build commands.
Releases
Each artifact is released independently using a tag-namespaced scheme:
engine-v*→ Rocky CLI binary (cross-compiled, on GitHub Releases)dagster-v*→dagster-rockywheelvscode-v*→ Rocky VSIX
See CONTRIBUTING.md for the full release flow.
Documentation
Full documentation: rocky-data.dev — concepts, guides, CLI reference, Dagster integration, adapter SDK.
Contributing
See CONTRIBUTING.md. Before opening a PR, please read the cross-project change guidance — schema and DSL changes must update consumers atomically.
Sponsoring
Rocky is free and open source. If it saves your team time, consider sponsoring the project so development can continue.