BoomTown to PlanetScale Integration
AI-first ETL from BoomTown into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads BoomTown into PlanetScale
Datrise syncs BoomTown's leads, contacts, listings, opportunities, property alerts, and agent interactions 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
BoomTown: Real estate lead generation with predictive agent alerts.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How BoomTown entities map to PlanetScale
| BoomTown entity | PlanetScale object | Notes |
|---|---|---|
| leads | boomtown_leads | id PK · custom fields → JSON columns |
| contacts | boomtown_contacts | id PK · linked to boomtown_leads |
| listings | boomtown_listings | id PK · linked to boomtown_leads |
| opportunities | boomtown_opportunities | id PK · linked to boomtown_leads |
FAQ
How does Datrise handle BoomTown'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 BoomTown 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
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Early access
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