DatriseAI-first ETL

Visma e-conomic to Redash Integration

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

How Datrise loads Visma e-conomic into Redash

Datrise syncs Visma e-conomic's invoices, customers, suppliers, journal entries, accounts, and products into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

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

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Visma e-conomic entities map to Redash

Visma e-conomic entityRedash objectNotes
invoicesvisma_e_conomic_invoicesid PK · custom fields → flattened columns for query results
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 Redash?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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