Harvest → Supabase
AI-first ETL from Harvest into Supabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Harvest into Supabase
Datrise syncs Harvest's time entries, projects, clients, invoices, and utilization 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: Time tracking and project profitability for services teams.
Supabase: Postgres platform with auth, storage, and realtime APIs.
How Harvest entities map to Supabase
| Harvest entity | Supabase object | Notes |
|---|---|---|
| time entries | harvest_time_entries | id PK · custom fields → jsonb columns |
| projects | harvest_projects | id PK · linked to harvest_time_entries |
| clients | harvest_clients | id PK · linked to harvest_time_entries |
| invoices | harvest_invoices | id PK · linked to harvest_time_entries |
FAQ
How does Datrise handle Harvest'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 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
More destinations for Harvest
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