Nutshell → PlanetScale
AI-first ETL from Nutshell into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Nutshell into PlanetScale
Datrise syncs Nutshell's pipeline records, activity history, and conversion-focused sales metrics 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
Nutshell: Sales CRM for teams that need simple reporting and pipeline velocity.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Nutshell entities map to PlanetScale
| Nutshell entity | PlanetScale object | Notes |
|---|---|---|
| pipeline records | nutshell_pipeline_records | id PK · custom fields → JSON columns |
| activity history | nutshell_activity_history | DATETIME events |
| conversion-focused sales metrics | nutshell_conversion_focused_sales_metrics | id PK · linked to nutshell_pipeline_records |
FAQ
How does Datrise handle Nutshell'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 Nutshell 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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