DatriseAI-first ETL

Taboola to Microsoft SQL Server Integration

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

How Datrise loads Taboola into Microsoft SQL Server

Datrise syncs Taboola's campaigns, campaign items, sites, spend, clicks, and conversions 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

Taboola: Content recommendation and native advertising.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Taboola entities map to Microsoft SQL Server

Taboola entityMicrosoft SQL Server objectNotes
campaignstaboola_campaignsid PK · custom fields → NVARCHAR(MAX) JSON columns
campaign itemstaboola_campaign_itemsid PK · linked to taboola_campaigns
sitestaboola_sitesid PK · linked to taboola_campaigns
spendtaboola_spendid PK · linked to taboola_campaigns

FAQ

How does Datrise handle Taboola'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 Taboola 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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