DatriseAI-first ETL

Wise Agent Oracle Database

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

How Datrise loads Wise Agent into Oracle Database

Datrise syncs Wise Agent'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

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

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Wise Agent entities map to Oracle Database

Wise Agent entityOracle Database objectNotes
contactswise_agent_contactsid PK · custom fields → JSON or CLOB columns
accountswise_agent_accountsid PK · linked to wise_agent_contacts
dealswise_agent_dealsid PK · linked to wise_agent_contacts
activitieswise_agent_activitiesTIMESTAMP WITH TIME ZONE events

FAQ

How does Datrise handle Wise Agent'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 Wise Agent 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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