DatriseAI-first ETL

Lofty to Oracle Database Integration

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

How Datrise loads Lofty into Oracle Database

Datrise syncs Lofty's leads, contacts, listings, property searches, smart plans, and tour requests 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

Lofty: Real estate CRM with IDX search and AI lead nurture.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Lofty entities map to Oracle Database

Lofty entityOracle Database objectNotes
leadslofty_leadsid PK · custom fields → JSON or CLOB columns
contactslofty_contactsid PK · linked to lofty_leads
listingslofty_listingsid PK · linked to lofty_leads
property searcheslofty_property_searchesid PK · linked to lofty_leads

FAQ

How does Datrise handle Lofty'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 Lofty to Oracle Database sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

Related pipelines

Early access

Connect Lofty to Oracle Database the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.