DatriseAI-first ETL

Visma e-conomic to PlanetScale Integration

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

How Datrise loads Visma e-conomic into PlanetScale

Datrise syncs Visma e-conomic's invoices, customers, suppliers, journal entries, accounts, and products 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

Visma e-conomic: Nordic accounting, invoicing, and ledger records.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Visma e-conomic entities map to PlanetScale

Visma e-conomic entityPlanetScale objectNotes
invoicesvisma_e_conomic_invoicesid PK · custom fields → JSON columns
customersvisma_e_conomic_customersid PK · linked to visma_e_conomic_invoices
suppliersvisma_e_conomic_suppliersid PK · linked to visma_e_conomic_invoices
journal entriesvisma_e_conomic_journal_entriesid PK · linked to visma_e_conomic_invoices

FAQ

How does Datrise handle Visma e-conomic'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 Visma e-conomic 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

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