Visma e-conomic to Amazon Redshift Integration
AI-first ETL from Visma e-conomic into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Visma e-conomic into Amazon Redshift
Datrise syncs Visma e-conomic's invoices, customers, suppliers, journal entries, accounts, and products into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.
Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.
Ideal for AWS-native warehouses already using the Redshift ecosystem.
Endpoints
Visma e-conomic: Nordic accounting, invoicing, and ledger records.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Visma e-conomic entities map to Amazon Redshift
| Visma e-conomic entity | Amazon Redshift object | Notes |
|---|---|---|
| invoices | visma_e_conomic_invoices | id PK · custom fields → SUPER 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 Amazon Redshift?
Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.
How does the Visma e-conomic to Amazon Redshift sync stay up to date?
It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.
Related pipelines
More destinations for Visma e-conomic
- 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
- Visma e-conomic → Airtable
- Visma e-conomic → CSV Files
- Visma e-conomic → MongoDB
- Visma e-conomic → Supabase
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Early access
Connect Visma e-conomic to Amazon Redshift the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.