Lofty to PlanetScale Integration

How Datrise loads Lofty into PlanetScale

Datrise syncs Lofty's leads, contacts, listings, property searches, smart plans, and tour requests into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

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

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Lofty entities map to PlanetScale

Lofty entity	PlanetScale object	Notes
leads	`lofty_leads`	id PK · custom fields → JSON 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 PlanetScale?

Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.

How does the Lofty to PlanetScale sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

Early access

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