DatriseAI-first ETL

New York Times to Apache Superset Integration

AI-first ETL from New York Times into Apache Superset. Governed entities, incremental sync, typed landing tables.

How Datrise loads New York Times into Apache Superset

Datrise syncs New York Times's articles, sections, headlines, bylines, publication dates, and keywords into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

New York Times: Article archive and top-stories metadata.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How New York Times entities map to Apache Superset

New York Times entityApache Superset objectNotes
articlesnew_york_times_articlesid PK · custom fields → flattened columns for the explore UI
sectionsnew_york_times_sectionsid PK · linked to new_york_times_articles
headlinesnew_york_times_headlinesid PK · linked to new_york_times_articles
bylinesnew_york_times_bylinesid PK · linked to new_york_times_articles

FAQ

How does Datrise handle New York Times's custom fields in Apache Superset?

Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.

How does the New York Times to Apache Superset sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

Connect New York Times to Apache Superset the easy way

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