Visma e-conomic to Amazon DynamoDB Integration
AI-first ETL from Visma e-conomic into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Visma e-conomic into Amazon DynamoDB
Datrise syncs Visma e-conomic's invoices, customers, suppliers, journal entries, accounts, and products into Amazon DynamoDB as an item per source record in a table per entity. Flexible or custom fields land in nested map/list attributes, and timestamps such as created, updated, and status changes are typed as ISO-8601 string or epoch number attributes.
Sync is incremental: Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id, so re-runs update only what changed. Partition-key design on the entity id to spread throughput evenly. DynamoDB rewards access-pattern-first key design, so Datrise sets partition/sort keys from your entity ids rather than scan-heavy defaults.
Ideal for serverless apps needing single-digit-millisecond key lookups on CRM data.
Endpoints
Visma e-conomic: Nordic accounting, invoicing, and ledger records.
Amazon DynamoDB: Serverless key-value and document store on AWS.
How Visma e-conomic entities map to Amazon DynamoDB
| Visma e-conomic entity | Amazon DynamoDB object | Notes |
|---|---|---|
| invoices | visma_e_conomic_invoices | id PK · custom fields → nested map/list attributes |
| 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 DynamoDB?
Flexible values are stored as nested map/list attributes, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon DynamoDB types.
How does the Visma e-conomic to Amazon DynamoDB sync stay up to date?
It runs incrementally — Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id.
Related pipelines
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Early access
Connect Visma e-conomic to Amazon DynamoDB the easy way
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