DatriseAI-first ETL

Google Analytics 360 MySQL

AI-first ETL from Google Analytics 360 into MySQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Analytics 360 into MySQL

Datrise syncs Google Analytics 360's records, events, and configuration objects 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

Google Analytics 360: SaaS or API data source for analytics and warehouse sync.

MySQL: Widely used OSS relational engine (InnoDB).

How Google Analytics 360 entities map to MySQL

Google Analytics 360 entityMySQL objectNotes
recordsgoogle_analytics_360_recordsid PK · custom fields → JSON columns
eventsgoogle_analytics_360_eventsDATETIME/TIMESTAMP events
configuration objectsgoogle_analytics_360_configuration_objectsid PK · linked to google_analytics_360_records

FAQ

How does Datrise handle Google Analytics 360'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 Google Analytics 360 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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