Google Ads → ClickHouse
AI-first ETL from Google Ads into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Ads into ClickHouse
Datrise syncs Google Ads's campaigns, ad groups, spend, clicks, conversions, and attribution signals 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 Ads: Paid media source for campaign and conversion metrics.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Google Ads entities map to ClickHouse
| Google Ads entity | ClickHouse object | Notes |
|---|---|---|
| campaigns | google_ads_campaigns | id PK · custom fields → JSON or Map columns |
| ad groups | google_ads_ad_groups | id PK · linked to google_ads_campaigns |
| spend | google_ads_spend | id PK · linked to google_ads_campaigns |
| clicks | google_ads_clicks | id PK · linked to google_ads_campaigns |
FAQ
How does Datrise handle Google Ads'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 Ads 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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