DatriseAI-first ETL

Fastbill to PlanetScale Integration

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

How Datrise loads Fastbill into PlanetScale

Datrise syncs Fastbill's invoices, customers, line items, payments, expenses, and recurring invoices into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

Fastbill: Invoicing and accounting for small businesses.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Fastbill entities map to PlanetScale

Fastbill entityPlanetScale objectNotes
invoicesfastbill_invoicesid PK · custom fields → JSON 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 PlanetScale?

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

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

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

Related pipelines

Early access

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