DatriseAI-first ETL

Amazon Ads to Apache Superset Integration

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

How Datrise loads Amazon Ads into Apache Superset

Datrise syncs Amazon Ads's campaigns, ad groups, keywords, spend, impressions, and attributed sales into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Amazon Ads: Sponsored ads across Amazon retail placements.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Amazon Ads entities map to Apache Superset

Amazon Ads entityApache Superset objectNotes
campaignsamazon_ads_campaignsid PK · custom fields → flattened columns for the explore UI
ad groupsamazon_ads_ad_groupsid PK · linked to amazon_ads_campaigns
keywordsamazon_ads_keywordsid PK · linked to amazon_ads_campaigns
spendamazon_ads_spendid PK · linked to amazon_ads_campaigns

FAQ

How does Datrise handle Amazon Ads's custom fields in Apache Superset?

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

How does the Amazon Ads to Apache Superset sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

Connect Amazon Ads to Apache Superset the easy way

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