Visma e-conomic to Microsoft SQL Server Integration
AI-first ETL from Visma e-conomic into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Visma e-conomic into Microsoft SQL Server
Datrise syncs Visma e-conomic's invoices, customers, suppliers, journal entries, accounts, and products into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
Visma e-conomic: Nordic accounting, invoicing, and ledger records.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Visma e-conomic entities map to Microsoft SQL Server
| Visma e-conomic entity | Microsoft SQL Server object | Notes |
|---|---|---|
| invoices | visma_e_conomic_invoices | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| customers | visma_e_conomic_customers | id PK · linked to visma_e_conomic_invoices |
| suppliers | visma_e_conomic_suppliers | id PK · linked to visma_e_conomic_invoices |
| journal entries | visma_e_conomic_journal_entries | id PK · linked to visma_e_conomic_invoices |
FAQ
How does Datrise handle Visma e-conomic's custom fields in Microsoft SQL Server?
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 Microsoft SQL Server types.
How does the Visma e-conomic to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
More destinations for Visma e-conomic
- Visma e-conomic → Oracle Database
- Visma e-conomic → Snowflake
- Visma e-conomic → Google BigQuery
- Visma e-conomic → Amazon Redshift
- Visma e-conomic → Databricks SQL Warehouse
- Visma e-conomic → ClickHouse
- Visma e-conomic → DuckDB
- Visma e-conomic → Amazon Athena
- Visma e-conomic → Amazon S3 Data Lake
- Visma e-conomic → Azure Data Lake Storage
- Visma e-conomic → Azure Synapse
- Visma e-conomic → Spreadsheets
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Early access
Connect Visma e-conomic to Microsoft SQL Server the easy way
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