DatriseAI-first ETL

Google Analytics 360 ClickHouse

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

How Datrise loads Google Analytics 360 into ClickHouse

Datrise syncs Google Analytics 360's records, events, and configuration objects into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

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

ClickHouse: Columnar OLAP engine for fast aggregations.

How Google Analytics 360 entities map to ClickHouse

Google Analytics 360 entityClickHouse objectNotes
recordsgoogle_analytics_360_recordsid PK · custom fields → JSON or Map columns
eventsgoogle_analytics_360_eventsDateTime64 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 ClickHouse?

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

How does the Google Analytics 360 to ClickHouse sync stay up to date?

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

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