Kyriba to PlanetScale Integration
AI-first ETL from Kyriba into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Kyriba into PlanetScale
Datrise syncs Kyriba's bank accounts, cash positions, payments, transactions, forecasts, and bank statements 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
Kyriba: Treasury, cash, and liquidity management.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Kyriba entities map to PlanetScale
| Kyriba entity | PlanetScale object | Notes |
|---|---|---|
| bank accounts | kyriba_bank_accounts | id PK · custom fields → JSON columns |
| cash positions | kyriba_cash_positions | id PK · linked to kyriba_bank_accounts |
| payments | kyriba_payments | id PK · linked to kyriba_bank_accounts |
| transactions | kyriba_transactions | id PK · linked to kyriba_bank_accounts |
FAQ
How does Datrise handle Kyriba'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 Kyriba 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 Kyriba
More sources for PlanetScale
Early access
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