RSS to Microsoft SQL Server Integration

How Datrise loads RSS into Microsoft SQL Server

Datrise syncs RSS's feed items, titles, links, publication dates, authors, and categories 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

RSS: Syndicated feed items from publishers and blogs.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How RSS entities map to Microsoft SQL Server

RSS entity	Microsoft SQL Server object	Notes
feed items	`rss_feed_items`	id PK · custom fields → NVARCHAR(MAX) JSON columns
titles	`rss_titles`	id PK · linked to rss_feed_items
links	`rss_links`	id PK · linked to rss_feed_items
publication dates	`rss_publication_dates`	id PK · linked to rss_feed_items

FAQ

How does Datrise handle RSS'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 RSS 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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