DatriseAI-first ETL

Mixpanel Yellowfin

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

How Datrise loads Mixpanel into Yellowfin

Datrise syncs Mixpanel's events, user profiles, cohorts, funnels, and retention metrics into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

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

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Mixpanel entities map to Yellowfin

Mixpanel entityYellowfin objectNotes
eventsmixpanel_eventsdate/time dimensions 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 Yellowfin?

Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.

How does the Mixpanel to Yellowfin sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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