DatriseAI-first ETL

Meta Ads Amazon QuickSight

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

How Datrise loads Meta Ads into Amazon QuickSight

Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments 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

Meta Ads: Facebook and Instagram ad source for spend and engagement.

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

How Meta Ads entities map to Amazon QuickSight

Meta Ads entityAmazon QuickSight objectNotes
campaign spendmeta_ads_campaign_spendid PK · custom fields → flattened columns for analyses
impressionsmeta_ads_impressionsid PK · linked to meta_ads_campaign_spend
clicksmeta_ads_clicksid PK · linked to meta_ads_campaign_spend
conversionsmeta_ads_conversionsid PK · linked to meta_ads_campaign_spend

FAQ

How does Datrise handle Meta 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 Meta 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

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