Mixpanel → PlanetScale
AI-first ETL from Mixpanel into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mixpanel into PlanetScale
Datrise syncs Mixpanel's events, user profiles, cohorts, funnels, and retention metrics into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
Mixpanel: Product analytics for events, funnels, and retention.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Mixpanel entities map to PlanetScale
| Mixpanel entity | PlanetScale object | Notes |
|---|---|---|
| events | mixpanel_events | DATETIME events |
| user profiles | mixpanel_user_profiles | id PK · linked to mixpanel_events |
| cohorts | mixpanel_cohorts | id PK · linked to mixpanel_events |
| funnels | mixpanel_funnels | id PK · linked to mixpanel_events |
FAQ
How does Datrise handle Mixpanel's custom fields in PlanetScale?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.
How does the Mixpanel to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Mixpanel
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