duckdb-temporal-versioning

Time-travel in DuckDB lets you query data as it existed at a past transaction. Use VERSION AT SYSTEM_TIME or FOR SYSTEM_TIME ALL clauses to reproduce results from specific moments, enabling reproducible analytics over interaction histories without maintaining separate snapshots.

Time-travel queries retrieve past states on demand; deterministic replay freezes snapshots for repeatable analyses. Replay ensures identical results across multiple runs by capturing a fixed data state, while time-travel accesses historical versions without pre-freezing.

Yes. This Skill captures dependencies between mutations using vector-like clocks, enabling causal reconciliation. An auditable 3-trigger pattern maintains immutable logs that document which operations caused downstream changes, supporting compliance and reproducibility requirements.

No. DuckDB temporal versioning provides built-in immutable audit trails through deterministic replay and time-travel semantics. The in-process approach eliminates external log dependencies while satisfying compliance requirements for mutation tracking across multi-layer data integrations.

In-process versioning keeps analytics and audit logic within DuckDB, reducing operational complexity and latency. External systems add deployment overhead; DuckDB's approach is simpler for reproducible queries over interaction histories when scale fits single-process analytics.