Google Analytics → ClickHouse
AI-first ETL from Google Analytics into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics into ClickHouse
Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts 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: Web and product analytics for behavior and traffic insights.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Google Analytics entities map to ClickHouse
| Google Analytics entity | ClickHouse object | Notes |
|---|---|---|
| sessions | google_analytics_sessions | id PK · custom fields → JSON or Map columns |
| events | google_analytics_events | DateTime64 events |
| channels | google_analytics_channels | id PK · linked to google_analytics_sessions |
| conversions | google_analytics_conversions | id PK · linked to google_analytics_sessions |
FAQ
How does Datrise handle Google Analytics'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 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.
Related pipelines
More destinations for Google Analytics
- Google Analytics → DuckDB
- Google Analytics → Amazon Athena
- Google Analytics → Amazon S3 Data Lake
- Google Analytics → Azure Data Lake Storage
- Google Analytics → Azure Synapse
- Google Analytics → Spreadsheets
- Google Analytics → Airtable
- Google Analytics → CSV Files
- Google Analytics → MongoDB
- Google Analytics → Supabase
- Google Analytics → Neon
- Google Analytics → PlanetScale
Early access
Connect Google Analytics to ClickHouse the easy way
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