Sellsy to Oracle Database Integration
AI-first ETL from Sellsy into Oracle Database. Governed entities, incremental sync, typed landing tables.
How Datrise loads Sellsy into Oracle Database
Datrise syncs Sellsy's prospects, opportunities, estimates, invoices, tickets, and timeline events into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.
Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.
Endpoints
Sellsy: French CRM with quoting, invoicing, and support tickets.
Oracle Database: Enterprise RDBMS with advanced partitioning and HA.
How Sellsy entities map to Oracle Database
| Sellsy entity | Oracle Database object | Notes |
|---|---|---|
| prospects | sellsy_prospects | id PK · custom fields → JSON or CLOB columns |
| 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 Oracle Database?
Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.
How does the Sellsy to Oracle Database sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.
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Early access
Connect Sellsy to Oracle Database the easy way
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