DatriseAI-first ETL

Amazon Ads to Supabase Integration

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

How Datrise loads Amazon Ads into Supabase

Datrise syncs Amazon Ads's campaigns, ad groups, keywords, spend, impressions, and attributed sales into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Amazon Ads: Sponsored ads across Amazon retail placements.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Amazon Ads entities map to Supabase

Amazon Ads entitySupabase objectNotes
campaignsamazon_ads_campaignsid PK · custom fields → jsonb columns
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 Supabase?

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

How does the Amazon Ads to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

Connect Amazon Ads to Supabase the easy way

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