DatriseAI-first ETL

Mixpanel Domo

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

How Datrise loads Mixpanel into Domo

Datrise syncs Mixpanel's events, user profiles, cohorts, funnels, and retention metrics 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

Mixpanel: Product analytics for events, funnels, and retention.

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

How Mixpanel entities map to Domo

Mixpanel entityDomo objectNotes
eventsmixpanel_eventsdate/time columns events
user profilesmixpanel_user_profilesid PK · linked to mixpanel_events
cohortsmixpanel_cohortsid PK · linked to mixpanel_events
funnelsmixpanel_funnelsid PK · linked to mixpanel_events

FAQ

How does Datrise handle Mixpanel'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 Mixpanel 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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