Public API to Domo Integration
AI-first ETL from Public API into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Public API into Domo
Datrise syncs Public API's records, response payloads, pagination cursors, request parameters, schemas, and fetch timestamps 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
Public API: Generic REST endpoint pulled on a schedule.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Public API entities map to Domo
| Public API entity | Domo object | Notes |
|---|---|---|
| records | public_api_records | id PK · custom fields → flattened columns for Magic ETL |
| response payloads | public_api_response_payloads | id PK · linked to public_api_records |
| pagination cursors | public_api_pagination_cursors | id PK · linked to public_api_records |
| request parameters | public_api_request_parameters | id PK · linked to public_api_records |
FAQ
How does Datrise handle Public API'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 Public API 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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