DatriseAI-first ETL

Google Ads Amazon QuickSight

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

How Datrise loads Google Ads into Amazon QuickSight

Datrise syncs Google Ads's campaigns, ad groups, spend, clicks, conversions, and attribution signals 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

Google Ads: Paid media source for campaign and conversion metrics.

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

How Google Ads entities map to Amazon QuickSight

Google Ads entityAmazon QuickSight objectNotes
campaignsgoogle_ads_campaignsid PK · custom fields → flattened columns for analyses
ad groupsgoogle_ads_ad_groupsid PK · linked to google_ads_campaigns
spendgoogle_ads_spendid PK · linked to google_ads_campaigns
clicksgoogle_ads_clicksid PK · linked to google_ads_campaigns

FAQ

How does Datrise handle Google 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 Google 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 Google Ads to Amazon QuickSight the easy way

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