Lofty to PostgreSQL Integration
AI-first ETL from Lofty into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Lofty into PostgreSQL
Datrise syncs Lofty's leads, contacts, listings, property searches, smart plans, and tour requests into PostgreSQL as a typed table per source entity. 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
Lofty: Real estate CRM with IDX search and AI lead nurture.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Lofty entities map to PostgreSQL
| Lofty entity | PostgreSQL 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 PostgreSQL?
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 PostgreSQL types.
How does the Lofty to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
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Early access
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