Warehouse-native
Your data, where it already lives.
Define metrics as SQL against your warehouse and let Foredeck compute readouts there — no second source of truth. Exposures export cleanly into your warehouse, and hybrid readouts can mix event-API and warehouse metrics on the same flag.
TeamIncluded from the Team tier.
revenue_per_userwarehouse · BigQueryOne source of truth. No zero-copy games.
What you get
Why Foredeck for warehouse-native metrics.
SQL metric definitions
Define a metric as a query against the warehouse you already trust.
Compute where data lives
Readouts run in your warehouse — no shadow copy, no second source of truth.
Exposure export
Foredeck exposures sync to your warehouse as a clean, stable dataset for your own analysis.
Hybrid readouts
Mix event-API and warehouse metrics on the same flag through one metric-source abstraction.
How it works
Three steps, one pipeline.
Point Foredeck at your warehouse.
Write the metric as SQL — and see the exact query we run.
Get warehouse-computed lift on the same flag page.
Better together
Works with the rest of the platform.
Metrics
FreeDefine a metric once, use it everywhere.
Explore Metrics →Experiments
FreeEvery rollout, automatically measured — experiments included free.
Explore Experiments →One object, one pipeline. The same rollout you ship is automatically measured, guarded, and — when it breaks — traceable, because every signal is joined to the flag and variation the unit was in.
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