n8n to PostgreSQL Integration
AI-first ETL from n8n into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads n8n into PostgreSQL
Datrise syncs n8n's workflows, executions, nodes, credentials, execution logs, and triggers into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
n8n: Workflow automation across apps and APIs.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How n8n entities map to PostgreSQL
| n8n entity | PostgreSQL object | Notes |
|---|---|---|
| workflows | n8n_workflows | id PK · custom fields → jsonb 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 PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the n8n to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
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Early access
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