DatriseAI-first ETL

Facebook Ads Amazon QuickSight

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

How Datrise loads Facebook Ads into Amazon QuickSight

Datrise syncs Facebook Ads's campaigns, ad sets, ads, spend, and conversion metrics into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

Facebook Ads: Meta paid social campaigns and performance insights.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Facebook Ads entities map to Amazon QuickSight

Facebook Ads entityAmazon QuickSight objectNotes
campaignsfacebook_ads_campaignsid PK · custom fields → flattened columns for analyses
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 QuickSight?

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

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

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

Connect Facebook Ads to Amazon QuickSight 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.