DatriseAI-first ETL

Real Geeks Oracle Database

AI-first ETL from Real Geeks into Oracle Database. Governed entities, incremental sync, typed landing tables.

How Datrise loads Real Geeks into Oracle Database

Datrise syncs Real Geeks's contacts, accounts, deals, activities, and lifecycle 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

Real Geeks: Real estate CRM for leads, listings, and agent follow-up.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Real Geeks entities map to Oracle Database

Real Geeks entityOracle Database objectNotes
contactsreal_geeks_contactsid PK · custom fields → JSON or CLOB columns
accountsreal_geeks_accountsid PK · linked to real_geeks_contacts
dealsreal_geeks_dealsid PK · linked to real_geeks_contacts
activitiesreal_geeks_activitiesTIMESTAMP WITH TIME ZONE events

FAQ

How does Datrise handle Real Geeks'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 Real Geeks 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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