RSS to Redash Integration
AI-first ETL from RSS into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads RSS into Redash
Datrise syncs RSS's feed items, titles, links, publication dates, authors, and categories into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
RSS: Syndicated feed items from publishers and blogs.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How RSS entities map to Redash
| RSS entity | Redash object | Notes |
|---|---|---|
| feed items | rss_feed_items | id PK · custom fields → flattened columns for query results |
| 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 Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the RSS to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for RSS
Early access
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