Newsdata to DuckDB Integration

How Datrise loads Newsdata into DuckDB

Datrise syncs Newsdata's articles, sources, categories, countries, publication dates, and keywords 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

Newsdata: News feed API with topic and country filters.

DuckDB: In-process analytics database for fast local OLAP.

How Newsdata entities map to DuckDB

Newsdata entity	DuckDB object	Notes
articles	`newsdata_articles`	id PK · custom fields → JSON or STRUCT columns
sources	`newsdata_sources`	id PK · linked to newsdata_articles
categories	`newsdata_categories`	id PK · linked to newsdata_articles
countries	`newsdata_countries`	id PK · linked to newsdata_articles

FAQ

How does Datrise handle Newsdata'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 Newsdata 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

Early access

Connect Newsdata to DuckDB the easy way

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