Sellsy to Amazon QuickSight Integration
AI-first ETL from Sellsy into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.
How Datrise loads Sellsy into Amazon QuickSight
Datrise syncs Sellsy's prospects, opportunities, estimates, invoices, tickets, and timeline events into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.
Ideal for AWS-native dashboards with pay-per-session pricing.
Endpoints
Sellsy: French CRM with quoting, invoicing, and support tickets.
Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.
How Sellsy entities map to Amazon QuickSight
| Sellsy entity | Amazon QuickSight object | Notes |
|---|---|---|
| prospects | sellsy_prospects | id PK · custom fields → flattened columns for analyses |
| opportunities | sellsy_opportunities | id PK · linked to sellsy_prospects |
| estimates | sellsy_estimates | id PK · linked to sellsy_prospects |
| invoices | sellsy_invoices | id PK · linked to sellsy_prospects |
FAQ
How does Datrise handle Sellsy's custom fields in Amazon QuickSight?
Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.
How does the Sellsy to Amazon QuickSight sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.
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Early access
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