DatriseAI-first ETL

Visma e-conomic to PostgreSQL Integration

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

How Datrise loads Visma e-conomic into PostgreSQL

Datrise syncs Visma e-conomic's invoices, customers, suppliers, journal entries, accounts, and products into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

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

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Visma e-conomic entities map to PostgreSQL

Visma e-conomic entityPostgreSQL objectNotes
invoicesvisma_e_conomic_invoicesid PK · custom fields → jsonb 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 PostgreSQL?

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

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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