DatriseAI-first ETL

Snapchat Ads to Microsoft SQL Server Integration

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

How Datrise loads Snapchat Ads into Microsoft SQL Server

Datrise syncs Snapchat Ads's campaigns, ad squads, ads, creatives, spend, and conversion metrics 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

Snapchat Ads: Paid campaigns across Snapchat placements.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Snapchat Ads entities map to Microsoft SQL Server

Snapchat Ads entityMicrosoft SQL Server objectNotes
campaignssnapchat_ads_campaignsid PK · custom fields → NVARCHAR(MAX) JSON columns
ad squadssnapchat_ads_ad_squadsid PK · linked to snapchat_ads_campaigns
adssnapchat_ads_adsid PK · linked to snapchat_ads_campaigns
creativessnapchat_ads_creativesid PK · linked to snapchat_ads_campaigns

FAQ

How does Datrise handle Snapchat 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 Snapchat 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

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