DatriseAI-first ETL

GNews to Microsoft SQL Server Integration

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

How Datrise loads GNews into Microsoft SQL Server

Datrise syncs GNews's articles, sources, headlines, publication dates, topics, 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

GNews: News article search across publishers.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How GNews entities map to Microsoft SQL Server

GNews entityMicrosoft SQL Server objectNotes
articlesgnews_articlesid PK · custom fields → NVARCHAR(MAX) JSON columns
sourcesgnews_sourcesid PK · linked to gnews_articles
headlinesgnews_headlinesid PK · linked to gnews_articles
publication datesgnews_publication_datesid PK · linked to gnews_articles

FAQ

How does Datrise handle GNews'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 GNews 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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