DatriseAI-first ETL

Amazon Ads to Microsoft SQL Server Integration

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

How Datrise loads Amazon Ads into Microsoft SQL Server

Datrise syncs Amazon Ads's campaigns, ad groups, keywords, spend, impressions, and attributed sales into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

Amazon Ads: Sponsored ads across Amazon retail placements.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Amazon Ads entities map to Microsoft SQL Server

Amazon Ads entityMicrosoft SQL Server objectNotes
campaignsamazon_ads_campaignsid PK · custom fields → NVARCHAR(MAX) JSON 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 Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the Amazon Ads to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

Early access

Connect Amazon Ads to Microsoft SQL Server the easy way

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