GitLake: Git-for-data for the agentic lakehouse
We present GitLake, a Git-for-data design for an agent-first lakehouse. The system lifts single-table Iceberg snapshots into lakehouse-wide commits, branches, and merges, letting agents work on isolated branches while humans review and publish changes. Pipelines run on temporary branches and publish through a final merge, so all outputs become visible atomically or none do. Finally, we report production lessons as well as correctness insights from a preliminary Alloy model of our core abstractions.
| Authors | Weiming Sheng, Jinlang Wang, Manuel Barros et al. |
|---|---|
| Primary category | cs.DB |
| Published | 9 July 2026 |
| Last updated at source | 9 July 2026 |
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