n8n to Domo Integration
AI-first ETL from n8n into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads n8n into Domo
Datrise syncs n8n's workflows, executions, nodes, credentials, execution logs, and triggers into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
n8n: Workflow automation across apps and APIs.
Domo: Cloud BI platform combining data integration and executive dashboards.
How n8n entities map to Domo
| n8n entity | Domo object | Notes |
|---|---|---|
| workflows | n8n_workflows | id PK · custom fields → flattened columns for Magic ETL |
| 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 Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the n8n to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
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