Lofty to Supabase Integration
AI-first ETL from Lofty into Supabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Lofty into Supabase
Datrise syncs Lofty's leads, contacts, listings, property searches, smart plans, and tour requests into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.
Ideal for app builders who want CRM data alongside their Supabase product data.
Endpoints
Lofty: Real estate CRM with IDX search and AI lead nurture.
Supabase: Postgres platform with auth, storage, and realtime APIs.
How Lofty entities map to Supabase
| Lofty entity | Supabase object | Notes |
|---|---|---|
| leads | lofty_leads | id PK · custom fields → jsonb columns |
| contacts | lofty_contacts | id PK · linked to lofty_leads |
| listings | lofty_listings | id PK · linked to lofty_leads |
| property searches | lofty_property_searches | id PK · linked to lofty_leads |
FAQ
How does Datrise handle Lofty's custom fields in Supabase?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Supabase types.
How does the Lofty to Supabase sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for Lofty
Early access
Connect Lofty to Supabase 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.