Amazon Ads to Birst Integration
AI-first ETL from Amazon Ads into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amazon Ads into Birst
Datrise syncs Amazon Ads's campaigns, ad groups, keywords, spend, impressions, and attributed sales into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Amazon Ads: Sponsored ads across Amazon retail placements.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Amazon Ads entities map to Birst
| Amazon Ads entity | Birst object | Notes |
|---|---|---|
| campaigns | amazon_ads_campaigns | id PK · custom fields → flattened columns |
| ad groups | amazon_ads_ad_groups | id PK · linked to amazon_ads_campaigns |
| keywords | amazon_ads_keywords | id PK · linked to amazon_ads_campaigns |
| spend | amazon_ads_spend | id PK · linked to amazon_ads_campaigns |
FAQ
How does Datrise handle Amazon Ads's custom fields in Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the Amazon Ads to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for Amazon Ads
Early access
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