PostHog to Amazon QuickSight Integration
AI-first ETL from PostHog into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.
How Datrise loads PostHog into Amazon QuickSight
Datrise syncs PostHog's events, persons, sessions, feature flags, cohorts, and insights into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.
Ideal for AWS-native dashboards with pay-per-session pricing.
Endpoints
PostHog: Product analytics with session replay and flags.
Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.
How PostHog entities map to Amazon QuickSight
| PostHog entity | Amazon QuickSight object | Notes |
|---|---|---|
| events | posthog_events | date/time fields 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 Amazon QuickSight?
Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.
How does the PostHog to Amazon QuickSight sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.
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Early access
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