RSS to Spotfire Integration
AI-first ETL from RSS into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads RSS into Spotfire
Datrise syncs RSS's feed items, titles, links, publication dates, authors, and categories into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.
Ideal for interactive analytical visualization and data science.
Endpoints
RSS: Syndicated feed items from publishers and blogs.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How RSS entities map to Spotfire
| RSS entity | Spotfire object | Notes |
|---|---|---|
| feed items | rss_feed_items | id PK · custom fields → flattened columns for visualizations |
| 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 Spotfire?
Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.
How does the RSS to Spotfire sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.
Related pipelines
More destinations for RSS
Early access
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