RSS to DuckDB Integration
AI-first ETL from RSS into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads RSS into DuckDB
Datrise syncs RSS's feed items, titles, links, publication dates, authors, and categories into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.
Ideal for local and notebook analytics without standing up a server.
Endpoints
RSS: Syndicated feed items from publishers and blogs.
DuckDB: In-process analytics database for fast local OLAP.
How RSS entities map to DuckDB
| RSS entity | DuckDB object | Notes |
|---|---|---|
| feed items | rss_feed_items | id PK · custom fields → JSON or STRUCT 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 DuckDB?
Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.
How does the RSS to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
Related pipelines
More destinations for RSS
Early access
Connect RSS to DuckDB the easy way
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