DatriseAI-first ETL

Visma E Conomic Chartio

AI-first ETL from Visma E Conomic into Chartio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Visma E Conomic into Chartio

Datrise syncs Visma E Conomic's records, events, and configuration objects into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, 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. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.

Ideal for drag-and-drop charting over a database.

Endpoints

Visma E Conomic: SaaS or API data source for analytics and warehouse sync.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How Visma E Conomic entities map to Chartio

Visma E Conomic entityChartio objectNotes
recordsvisma_e_conomic_recordsid PK · custom fields → flattened columns for visual SQL
eventsvisma_e_conomic_eventstemporal columns events
configuration objectsvisma_e_conomic_configuration_objectsid PK · linked to visma_e_conomic_records

FAQ

How does Datrise handle Visma E Conomic's custom fields in Chartio?

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

How does the Visma E Conomic to Chartio sync stay up to date?

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

Related pipelines

Early access

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