PostHog to Neon Integration
AI-first ETL from PostHog into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads PostHog into Neon
Datrise syncs PostHog's events, persons, sessions, feature flags, cohorts, and insights 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
PostHog: Product analytics with session replay and flags.
Neon: Serverless Postgres destination with branching and autoscaling.
How PostHog entities map to Neon
| PostHog entity | Neon object | Notes |
|---|---|---|
| events | posthog_events | timestamptz events |
| persons | posthog_persons | id PK · linked to posthog_events |
| sessions | posthog_sessions | id PK · linked to posthog_events |
| feature flags | posthog_feature_flags | id PK · linked to posthog_events |
FAQ
How does Datrise handle PostHog'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 PostHog 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
More destinations for PostHog
Early access
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