n8n to PlanetScale Integration
AI-first ETL from n8n into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads n8n into PlanetScale
Datrise syncs n8n's workflows, executions, nodes, credentials, execution logs, and triggers 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
n8n: Workflow automation across apps and APIs.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How n8n entities map to PlanetScale
| n8n entity | PlanetScale object | Notes |
|---|---|---|
| workflows | n8n_workflows | id PK · custom fields → JSON columns |
| executions | n8n_executions | id PK · linked to n8n_workflows |
| nodes | n8n_nodes | id PK · linked to n8n_workflows |
| credentials | n8n_credentials | id PK · linked to n8n_workflows |
FAQ
How does Datrise handle n8n'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 n8n 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
More destinations for n8n
More sources for PlanetScale
Early access
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