DatriseAI-first ETL

Localytics to MySQL Integration

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

How Datrise loads Localytics into MySQL

Datrise syncs Localytics's sessions, events, users, campaigns, push deliveries, and app profiles 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

Localytics: Mobile app analytics and push engagement.

MySQL: Widely used OSS relational engine (InnoDB).

How Localytics entities map to MySQL

Localytics entityMySQL objectNotes
sessionslocalytics_sessionsid PK · custom fields → JSON columns
eventslocalytics_eventsDATETIME/TIMESTAMP events
userslocalytics_usersid PK · linked to localytics_sessions
campaignslocalytics_campaignsid PK · linked to localytics_sessions

FAQ

How does Datrise handle Localytics'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 Localytics 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

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