DatriseAI-first ETL

Meta Ads Microsoft SQL Server

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

How Datrise loads Meta Ads into Microsoft SQL Server

Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments 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

Meta Ads: Facebook and Instagram ad source for spend and engagement.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Meta Ads entities map to Microsoft SQL Server

Meta Ads entityMicrosoft SQL Server objectNotes
campaign spendmeta_ads_campaign_spendid PK · custom fields → NVARCHAR(MAX) JSON columns
impressionsmeta_ads_impressionsid PK · linked to meta_ads_campaign_spend
clicksmeta_ads_clicksid PK · linked to meta_ads_campaign_spend
conversionsmeta_ads_conversionsid PK · linked to meta_ads_campaign_spend

FAQ

How does Datrise handle Meta 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 Meta 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 Meta Ads to Microsoft SQL Server the easy way

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