Lofty to Neon Integration
AI-first ETL from Lofty into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Lofty into Neon
Datrise syncs Lofty's leads, contacts, listings, property searches, smart plans, and tour requests into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.
Ideal for serverless Postgres workloads that scale to zero between syncs.
Endpoints
Lofty: Real estate CRM with IDX search and AI lead nurture.
Neon: Serverless Postgres destination with branching and autoscaling.
How Lofty entities map to Neon
| Lofty entity | Neon 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 Neon?
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 Neon types.
How does the Lofty to Neon 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 Neon 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.