DatriseAI-first ETL

Fastbill to PostgreSQL Integration

AI-first ETL from Fastbill into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Fastbill into PostgreSQL

Datrise syncs Fastbill's invoices, customers, line items, payments, expenses, and recurring invoices into PostgreSQL as a typed table per source entity. 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Fastbill: Invoicing and accounting for small businesses.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Fastbill entities map to PostgreSQL

Fastbill entityPostgreSQL objectNotes
invoicesfastbill_invoicesid PK · custom fields → jsonb columns
customersfastbill_customersid PK · linked to fastbill_invoices
line itemsfastbill_line_itemsid PK · linked to fastbill_invoices
paymentsfastbill_paymentsid PK · linked to fastbill_invoices

FAQ

How does Datrise handle Fastbill's custom fields in PostgreSQL?

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 PostgreSQL types.

How does the Fastbill to PostgreSQL sync stay up to date?

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

Related pipelines

Early access

Connect Fastbill to PostgreSQL the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.