DatriseAI-first ETL

Facebook Ads Birst

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

How Datrise loads Facebook Ads into Birst

Datrise syncs Facebook Ads's campaigns, ad sets, ads, spend, and conversion metrics into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

Facebook Ads: Meta paid social campaigns and performance insights.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Facebook Ads entities map to Birst

Facebook Ads entityBirst objectNotes
campaignsfacebook_ads_campaignsid PK · custom fields → flattened 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 Birst?

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

How does the Facebook Ads to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

Early access

Connect Facebook Ads to Birst 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.