DatriseAI-first ETL

Harvest Forecast to Supabase Integration

AI-first ETL from Harvest Forecast into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Harvest Forecast into Supabase

Datrise syncs Harvest Forecast's assignments, people, projects, clients, milestones, and scheduled hours into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Harvest Forecast: Resource scheduling and project capacity planning.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Harvest Forecast entities map to Supabase

Harvest Forecast entitySupabase objectNotes
assignmentsharvest_forecast_assignmentsid PK · custom fields → jsonb columns
peopleharvest_forecast_peopleid PK · linked to harvest_forecast_assignments
projectsharvest_forecast_projectsid PK · linked to harvest_forecast_assignments
clientsharvest_forecast_clientsid PK · linked to harvest_forecast_assignments

FAQ

How does Datrise handle Harvest Forecast's custom fields in Supabase?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Supabase types.

How does the Harvest Forecast to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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