DatriseAI-first ETL

Amazon Ads to ClickHouse Integration

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

How Datrise loads Amazon Ads into ClickHouse

Datrise syncs Amazon Ads's campaigns, ad groups, keywords, spend, impressions, and attributed sales into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

Amazon Ads: Sponsored ads across Amazon retail placements.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Amazon Ads entities map to ClickHouse

Amazon Ads entityClickHouse objectNotes
campaignsamazon_ads_campaignsid PK · custom fields → JSON or Map 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 ClickHouse?

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

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

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

Related pipelines

Early access

Connect Amazon Ads to ClickHouse the easy way

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