DatriseAI-first ETL

Selligent Domo

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

How Datrise loads Selligent into Domo

Datrise syncs Selligent's records, events, and configuration objects 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

Selligent: SaaS or API data source for analytics and warehouse sync.

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

How Selligent entities map to Domo

Selligent entityDomo objectNotes
recordsselligent_recordsid PK · custom fields → flattened columns for Magic ETL
eventsselligent_eventsdate/time columns events
configuration objectsselligent_configuration_objectsid PK · linked to selligent_records

FAQ

How does Datrise handle Selligent'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 Selligent 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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