DatriseAI-first ETL

Mixpanel GoodData

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

How Datrise loads Mixpanel into GoodData

Datrise syncs Mixpanel's events, user profiles, cohorts, funnels, and retention metrics into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

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

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Mixpanel entities map to GoodData

Mixpanel entityGoodData objectNotes
eventsmixpanel_eventsdate 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 GoodData?

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 GoodData types.

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

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

Related pipelines

Early access

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