Xero → PlanetScale
AI-first ETL from Xero into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Xero into PlanetScale
Datrise syncs Xero's contacts, invoices, bank transactions, accounts, and payments 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
Xero: Cloud accounting for SMB ledgers and cash flow.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Xero entities map to PlanetScale
| Xero entity | PlanetScale object | Notes |
|---|---|---|
| contacts | xero_contacts | id PK · custom fields → JSON columns |
| invoices | xero_invoices | id PK · linked to xero_contacts |
| bank transactions | xero_bank_transactions | id PK · linked to xero_contacts |
| accounts | xero_accounts | id PK · linked to xero_contacts |
FAQ
How does Datrise handle Xero'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 Xero 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
More destinations for Xero
Early access
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