DatriseAI-first ETL

Mixpanel PostgreSQL

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

How Datrise loads Mixpanel into PostgreSQL

Datrise syncs Mixpanel's events, user profiles, cohorts, funnels, and retention metrics into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

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

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Mixpanel entities map to PostgreSQL

Mixpanel entityPostgreSQL objectNotes
eventsmixpanel_eventstimestamptz 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 PostgreSQL?

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

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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