PostHog to Redash Integration
AI-first ETL from PostHog into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads PostHog into Redash
Datrise syncs PostHog's events, persons, sessions, feature flags, cohorts, and insights into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
PostHog: Product analytics with session replay and flags.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How PostHog entities map to Redash
| PostHog entity | Redash object | Notes |
|---|---|---|
| events | posthog_events | temporal columns 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 Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the PostHog to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for PostHog
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