DatriseAI-first ETL

Invoiced to Supabase Integration

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

How Datrise loads Invoiced into Supabase

Datrise syncs Invoiced's invoices, customers, payments, subscriptions, credit notes, and line items 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

Invoiced: Accounts receivable automation and billing.

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

How Invoiced entities map to Supabase

Invoiced entitySupabase objectNotes
invoicesinvoiced_invoicesid PK · custom fields → jsonb columns
customersinvoiced_customersid PK · linked to invoiced_invoices
paymentsinvoiced_paymentsid PK · linked to invoiced_invoices
subscriptionsinvoiced_subscriptionsid PK · linked to invoiced_invoices

FAQ

How does Datrise handle Invoiced'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 Invoiced 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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