DatriseAI-first ETL

Facebook Ads Amazon Redshift

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

How Datrise loads Facebook Ads into Amazon Redshift

Datrise syncs Facebook Ads's campaigns, ad sets, ads, spend, and conversion metrics into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.

Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.

Ideal for AWS-native warehouses already using the Redshift ecosystem.

Endpoints

Facebook Ads: Meta paid social campaigns and performance insights.

Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.

How Facebook Ads entities map to Amazon Redshift

Facebook Ads entityAmazon Redshift objectNotes
campaignsfacebook_ads_campaignsid PK · custom fields → SUPER 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 Amazon Redshift?

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

How does the Facebook Ads to Amazon Redshift sync stay up to date?

It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.

Related pipelines

Early access

Connect Facebook Ads to Amazon Redshift 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.