PostHog to Birst Integration
AI-first ETL from PostHog into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads PostHog into Birst
Datrise syncs PostHog's events, persons, sessions, feature flags, cohorts, and insights into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
PostHog: Product analytics with session replay and flags.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How PostHog entities map to Birst
| PostHog entity | Birst object | Notes |
|---|---|---|
| events | posthog_events | date/time dimensions 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 Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the PostHog to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for PostHog
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