DatriseAI-first ETL

Visma e-conomic to Domo Integration

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

How Datrise loads Visma e-conomic into Domo

Datrise syncs Visma e-conomic's invoices, customers, suppliers, journal entries, accounts, and products into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

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

Domo: Cloud BI platform combining data integration and executive dashboards.

How Visma e-conomic entities map to Domo

Visma e-conomic entityDomo objectNotes
invoicesvisma_e_conomic_invoicesid PK · custom fields → flattened columns for Magic ETL
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 Domo?

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

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

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

Early access

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