DatriseAI-first ETL

Onesignal to Amazon QuickSight Integration

AI-first ETL from Onesignal into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.

How Datrise loads Onesignal into Amazon QuickSight

Datrise syncs Onesignal's notifications, subscribers, segments, apps, delivery events, and outcomes 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

Onesignal: Push, in-app, and email message delivery.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Onesignal entities map to Amazon QuickSight

Onesignal entityAmazon QuickSight objectNotes
notificationsonesignal_notificationsid PK · custom fields → flattened columns for analyses
subscribersonesignal_subscribersid PK · linked to onesignal_notifications
segmentsonesignal_segmentsid PK · linked to onesignal_notifications
appsonesignal_appsid PK · linked to onesignal_notifications

FAQ

How does Datrise handle Onesignal'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 Onesignal to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

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