DatriseAI-first ETL

News API to Redash Integration

AI-first ETL from News API into Redash. Governed entities, incremental sync, typed landing tables.

How Datrise loads News API into Redash

Datrise syncs News API's articles, sources, headlines, publication dates, categories, and search queries 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

News API: Aggregated news headlines across publishers.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How News API entities map to Redash

News API entityRedash objectNotes
articlesnews_api_articlesid PK · custom fields → flattened columns for query results
sourcesnews_api_sourcesid PK · linked to news_api_articles
headlinesnews_api_headlinesid PK · linked to news_api_articles
publication datesnews_api_publication_datesid PK · linked to news_api_articles

FAQ

How does Datrise handle News API'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 News API to Redash sync stay up to date?

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

Related pipelines

Early access

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