DatriseAI-first ETL

Amazon Ads Metabase

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

How Datrise loads Amazon Ads into Metabase

Datrise syncs Amazon Ads's records, events, and configuration objects into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Amazon Ads: SaaS or API data source for analytics and warehouse sync.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Amazon Ads entities map to Metabase

Amazon Ads entityMetabase objectNotes
recordsamazon_ads_recordsid PK · custom fields → flattened columns for the question builder
eventsamazon_ads_eventstemporal columns for trends events
configuration objectsamazon_ads_configuration_objectsid PK · linked to amazon_ads_records

FAQ

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

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

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

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

Related pipelines

Early access

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