Zapier to Domo Integration
AI-first ETL from Zapier into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Zapier into Domo
Datrise syncs Zapier's zaps, task runs, triggers, actions, connected apps, and run statuses 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
Zapier: Automation runs connecting apps through triggers.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Zapier entities map to Domo
| Zapier entity | Domo object | Notes |
|---|---|---|
| zaps | zapier_zaps | id PK · custom fields → flattened columns for Magic ETL |
| task runs | zapier_task_runs | id PK · linked to zapier_zaps |
| triggers | zapier_triggers | id PK · linked to zapier_zaps |
| actions | zapier_actions | id PK · linked to zapier_zaps |
FAQ
How does Datrise handle Zapier'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 Zapier to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
More destinations for Zapier
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