New York Times to DuckDB Integration
AI-first ETL from New York Times into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads New York Times into DuckDB
Datrise syncs New York Times's articles, sections, headlines, bylines, 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
New York Times: Article archive and top-stories metadata.
DuckDB: In-process analytics database for fast local OLAP.
How New York Times entities map to DuckDB
| New York Times entity | DuckDB object | Notes |
|---|---|---|
| articles | new_york_times_articles | id PK · custom fields → JSON or STRUCT columns |
| sections | new_york_times_sections | id PK · linked to new_york_times_articles |
| headlines | new_york_times_headlines | id PK · linked to new_york_times_articles |
| bylines | new_york_times_bylines | id PK · linked to new_york_times_articles |
FAQ
How does Datrise handle New York Times'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 New York Times 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 New York Times
- New York Times → Amazon Athena
- New York Times → Amazon S3 Data Lake
- New York Times → Azure Data Lake Storage
- New York Times → Azure Synapse
- New York Times → Spreadsheets
- New York Times → Airtable
- New York Times → CSV Files
- New York Times → MongoDB
- New York Times → Supabase
- New York Times → Neon
- New York Times → PlanetScale
- New York Times → Amazon DynamoDB
Early access
Connect New York Times to DuckDB the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.