DatriseAI-first ETL

Mixpanel Neon

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

How Datrise loads Mixpanel into Neon

Datrise syncs Mixpanel's events, user profiles, cohorts, funnels, and retention metrics into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

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

Neon: Serverless Postgres destination with branching and autoscaling.

How Mixpanel entities map to Neon

Mixpanel entityNeon 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 Neon?

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 Neon types.

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

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

Related pipelines

Early access

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