DatriseAI-first ETL

Visma e-conomic to Airtable Integration

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

How Datrise loads Visma e-conomic into Airtable

Datrise syncs Visma e-conomic's invoices, customers, suppliers, journal entries, accounts, and products into Airtable as a table per source entity in your base. Flexible or custom fields land in long-text JSON or linked records for nested data, and timestamps such as created, updated, and status changes are typed as date/dateTime fields.

Sync is incremental: Datrise uses upserts records matched on a stable id field, so re-runs update only what changed. Airtable enforces per-base record and API rate limits, so Datrise batches writes and lands a focused field set.

Ideal for operational workflows and light CRM views in Airtable.

Endpoints

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

Airtable: Relational spreadsheet destination for ops and go-to-market teams.

How Visma e-conomic entities map to Airtable

Visma e-conomic entityAirtable objectNotes
invoicesvisma_e_conomic_invoicesid PK · custom fields → long-text JSON or linked records for nested data
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 Airtable?

Flexible values are stored as long-text JSON or linked records for nested data, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Airtable types.

How does the Visma e-conomic to Airtable sync stay up to date?

It runs incrementally — Datrise uses upserts records matched on a stable id field.

Related pipelines

Early access

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