Meta Ads → ClickHouse
AI-first ETL from Meta Ads into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Meta Ads into ClickHouse
Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments 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
Meta Ads: Facebook and Instagram ad source for spend and engagement.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Meta Ads entities map to ClickHouse
| Meta Ads entity | ClickHouse object | Notes |
|---|---|---|
| campaign spend | meta_ads_campaign_spend | id PK · custom fields → JSON or Map columns |
| impressions | meta_ads_impressions | id PK · linked to meta_ads_campaign_spend |
| clicks | meta_ads_clicks | id PK · linked to meta_ads_campaign_spend |
| conversions | meta_ads_conversions | id PK · linked to meta_ads_campaign_spend |
FAQ
How does Datrise handle Meta 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 Meta 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.
Related pipelines
More destinations for Meta Ads
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