DatriseAI-first ETL

kvCORE to PlanetScale Integration

AI-first ETL from kvCORE into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads kvCORE into PlanetScale

Datrise syncs kvCORE's leads, contacts, listings, smart campaigns, property alerts, and agent activity 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

kvCORE: Real estate platform for lead generation and agent websites.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How kvCORE entities map to PlanetScale

kvCORE entityPlanetScale objectNotes
leadskvcore_leadsid PK · custom fields → JSON columns
contactskvcore_contactsid PK · linked to kvcore_leads
listingskvcore_listingsid PK · linked to kvcore_leads
smart campaignskvcore_smart_campaignsid PK · linked to kvcore_leads

FAQ

How does Datrise handle kvCORE'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 kvCORE 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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