DatriseAI-first ETL

RSS to Oracle Database Integration

AI-first ETL from RSS into Oracle Database. Governed entities, incremental sync, typed landing tables.

How Datrise loads RSS into Oracle Database

Datrise syncs RSS's feed items, titles, links, publication dates, authors, and categories into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.

Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.

Endpoints

RSS: Syndicated feed items from publishers and blogs.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How RSS entities map to Oracle Database

RSS entityOracle Database objectNotes
feed itemsrss_feed_itemsid PK · custom fields → JSON or CLOB columns
titlesrss_titlesid PK · linked to rss_feed_items
linksrss_linksid PK · linked to rss_feed_items
publication datesrss_publication_datesid PK · linked to rss_feed_items

FAQ

How does Datrise handle RSS's custom fields in Oracle Database?

Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.

How does the RSS to Oracle Database sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

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