Jobber to Supabase Integration
AI-first ETL from Jobber into Supabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Jobber into Supabase
Datrise syncs Jobber's jobs, clients, quotes, invoices, visits, and expenses 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
Jobber: Field service quoting, scheduling, and job tracking.
Supabase: Postgres platform with auth, storage, and realtime APIs.
How Jobber entities map to Supabase
| Jobber entity | Supabase object | Notes |
|---|---|---|
| jobs | jobber_jobs | id PK · custom fields → jsonb columns |
| clients | jobber_clients | id PK · linked to jobber_jobs |
| quotes | jobber_quotes | id PK · linked to jobber_jobs |
| invoices | jobber_invoices | id PK · linked to jobber_jobs |
FAQ
How does Datrise handle Jobber'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 Jobber to Supabase sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
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