DatriseAI-first ETL

Onesignal to MySQL Integration

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

How Datrise loads Onesignal into MySQL

Datrise syncs Onesignal's notifications, subscribers, segments, apps, delivery events, and outcomes into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

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

MySQL: Widely used OSS relational engine (InnoDB).

How Onesignal entities map to MySQL

Onesignal entityMySQL objectNotes
notificationsonesignal_notificationsid PK · custom fields → JSON columns
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 MySQL?

Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.

How does the Onesignal to MySQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

Early access

Connect Onesignal to MySQL the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.