DatriseAI-first ETL

News API to Microsoft SQL Server Integration

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

How Datrise loads News API into Microsoft SQL Server

Datrise syncs News API's articles, sources, headlines, publication dates, categories, and search queries 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

News API: Aggregated news headlines across publishers.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How News API entities map to Microsoft SQL Server

News API entityMicrosoft SQL Server objectNotes
articlesnews_api_articlesid PK · custom fields → NVARCHAR(MAX) JSON columns
sourcesnews_api_sourcesid PK · linked to news_api_articles
headlinesnews_api_headlinesid PK · linked to news_api_articles
publication datesnews_api_publication_datesid PK · linked to news_api_articles

FAQ

How does Datrise handle News API'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 News API 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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