Keap → PlanetScale
AI-first ETL from Keap into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Keap into PlanetScale
Datrise syncs Keap's SMB contacts, opportunities, automations, and appointment workflows 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
Keap: SMB CRM with pipeline automation, email, and appointment flows.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Keap entities map to PlanetScale
| Keap entity | PlanetScale object | Notes |
|---|---|---|
| SMB contacts | keap_smb_contacts | id PK · custom fields → JSON columns |
| opportunities | keap_opportunities | id PK · linked to keap_smb_contacts |
| automations | keap_automations | id PK · linked to keap_smb_contacts |
| appointment workflows | keap_appointment_workflows | id PK · linked to keap_smb_contacts |
FAQ
How does Datrise handle Keap'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 Keap to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
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