DatriseAI-first ETL

PostHog to PlanetScale Integration

AI-first ETL from PostHog into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads PostHog into PlanetScale

Datrise syncs PostHog's events, persons, sessions, feature flags, cohorts, and insights 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

PostHog: Product analytics with session replay and flags.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How PostHog entities map to PlanetScale

PostHog entityPlanetScale objectNotes
eventsposthog_eventsDATETIME events
personsposthog_personsid PK · linked to posthog_events
sessionsposthog_sessionsid PK · linked to posthog_events
feature flagsposthog_feature_flagsid PK · linked to posthog_events

FAQ

How does Datrise handle PostHog'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 PostHog 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

Early access

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