Zenloop to Domo Integration
AI-first ETL from Zenloop into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Zenloop into Domo
Datrise syncs Zenloop's surveys, answers, NPS scores, respondents, sentiment labels, and feedback topics 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
Zenloop: NPS surveys and customer feedback analysis.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Zenloop entities map to Domo
| Zenloop entity | Domo object | Notes |
|---|---|---|
| surveys | zenloop_surveys | id PK · custom fields → flattened columns for Magic ETL |
| answers | zenloop_answers | id PK · linked to zenloop_surveys |
| NPS scores | zenloop_nps_scores | id PK · linked to zenloop_surveys |
| respondents | zenloop_respondents | id PK · linked to zenloop_surveys |
FAQ
How does Datrise handle Zenloop'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 Zenloop to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
More destinations for Zenloop
Early access
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