DatriseAI-first ETL

Visma e-conomic to Azure Synapse Integration

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

How Datrise loads Visma e-conomic into Azure Synapse

Datrise syncs Visma e-conomic's invoices, customers, suppliers, journal entries, accounts, and products into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

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

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Visma e-conomic entities map to Azure Synapse

Visma e-conomic entityAzure Synapse objectNotes
invoicesvisma_e_conomic_invoicesid PK · custom fields → NVARCHAR(MAX) JSON 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 Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

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

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

Early access

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