DatriseAI-first ETL

TikTok Ads to Microsoft SQL Server Integration

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

How Datrise loads TikTok Ads into Microsoft SQL Server

Datrise syncs TikTok Ads's campaigns, ad groups, 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

TikTok Ads: Paid campaign delivery across TikTok placements.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How TikTok Ads entities map to Microsoft SQL Server

TikTok Ads entityMicrosoft SQL Server objectNotes
campaignstiktok_ads_campaignsid PK · custom fields → NVARCHAR(MAX) JSON columns
ad groupstiktok_ads_ad_groupsid PK · linked to tiktok_ads_campaigns
adstiktok_ads_adsid PK · linked to tiktok_ads_campaigns
creativestiktok_ads_creativesid PK · linked to tiktok_ads_campaigns

FAQ

How does Datrise handle TikTok 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 TikTok 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

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