DatriseAI-first ETL

Instatus to Domo Integration

AI-first ETL from Instatus into Domo. Governed entities, incremental sync, typed landing tables.

How Datrise loads Instatus into Domo

Datrise syncs Instatus's incidents, components, incident updates, subscribers, status page views, and uptime history 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

Instatus: Fast status pages with incident timelines and subscribers.

Domo: Cloud BI platform combining data integration and executive dashboards.

How Instatus entities map to Domo

Instatus entityDomo objectNotes
incidentsinstatus_incidentsid PK · custom fields → flattened columns for Magic ETL
componentsinstatus_componentsid PK · linked to instatus_incidents
incident updatesinstatus_incident_updatesid PK · linked to instatus_incidents
subscribersinstatus_subscribersid PK · linked to instatus_incidents

FAQ

How does Datrise handle Instatus'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 Instatus 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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