Rocky – Rust SQL engine with branches, replay, column lineage

In plain words

Rocky is a Rust-based SQL engine that manages data pipeline workflows while leaving storage and compute to existing warehouses like Databricks or Snowflake. It tracks column lineage, supports branching and replay functionality, and includes governance features like column classification, environment-specific masking, audit trails, and role-based access control. Rocky is designed for data engineers and analytics teams who need centralized pipeline orchestration with compliance and cost tracking built in.

written from the facts on this page · September 2026

From the sources

A SQL transformation engine that type-checks your whole pipeline and catches breaking changes before they run — branches, replay, column-level lineage, compile-time contracts, per-model cost. Adapters: Databricks, Snowflake, BigQuery, DuckDB. Single static Rust binary. Apache 2.0. - rocky-data/rocky

In the maker’s words, at launch

Hi HN, I'm Hugo. I've been building Rocky over the past month, shipping fast in the open. The binary is on GitHub Releases, `dagster-rocky` on PyPI, and the VS Code extension on the Marketplace. I held off on a broader announcement until the trust-system surface was coherent enough to talk about as one thing. The…

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