Crelate to Oracle Database Integration
AI-first ETL from Crelate into Oracle Database. Governed entities, incremental sync, typed landing tables.
How Datrise loads Crelate into Oracle Database
Datrise syncs Crelate's contacts, jobs, opportunities, activities, workflow stages, and placements 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
Crelate: Recruiting CRM for agency pipelines and candidate sourcing.
Oracle Database: Enterprise RDBMS with advanced partitioning and HA.
How Crelate entities map to Oracle Database
| Crelate entity | Oracle Database object | Notes |
|---|---|---|
| contacts | crelate_contacts | id PK · custom fields → JSON or CLOB columns |
| jobs | crelate_jobs | id PK · linked to crelate_contacts |
| opportunities | crelate_opportunities | id PK · linked to crelate_contacts |
| activities | crelate_activities | TIMESTAMP WITH TIME ZONE events |
FAQ
How does Datrise handle Crelate'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 Crelate 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 Crelate to Oracle Database the easy way
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