DatriseAI-first ETL

Facebook Ads ClickHouse

AI-first ETL from Facebook Ads into ClickHouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Facebook Ads into ClickHouse

Datrise syncs Facebook Ads's campaigns, ad sets, ads, spend, and conversion metrics 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

Facebook Ads: Meta paid social campaigns and performance insights.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Facebook Ads entities map to ClickHouse

Facebook Ads entityClickHouse objectNotes
campaignsfacebook_ads_campaignsid PK · custom fields → JSON or Map columns
ad setsfacebook_ads_ad_setsid PK · linked to facebook_ads_campaigns
adsfacebook_ads_adsid PK · linked to facebook_ads_campaigns
spendfacebook_ads_spendid PK · linked to facebook_ads_campaigns

FAQ

How does Datrise handle Facebook 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 Facebook 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

Early access

Connect Facebook Ads to ClickHouse the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.