DatriseAI-first ETL

Mixpanel Holistics

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

How Datrise loads Mixpanel into Holistics

Datrise syncs Mixpanel's events, user profiles, cohorts, funnels, and retention metrics into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

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

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Mixpanel entities map to Holistics

Mixpanel entityHolistics 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 Holistics?

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

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

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

Related pipelines

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