n8n to MySQL Integration
AI-first ETL from n8n into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads n8n into MySQL
Datrise syncs n8n's workflows, executions, nodes, credentials, execution logs, and triggers into MySQL 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/TIMESTAMP.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.
Ideal for operational reporting and app databases already standardized on MySQL.
Endpoints
n8n: Workflow automation across apps and APIs.
MySQL: Widely used OSS relational engine (InnoDB).
How n8n entities map to MySQL
| n8n entity | MySQL 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 MySQL?
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 MySQL types.
How does the n8n to MySQL 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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