New York Times → PostgreSQL
AI-first ETL from New York Times into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads New York Times into PostgreSQL
Datrise syncs New York Times's records, events, and configuration objects into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
New York Times: SaaS or API data source for analytics and warehouse sync.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How New York Times entities map to PostgreSQL
| New York Times entity | PostgreSQL object | Notes |
|---|---|---|
| records | new_york_times_records | id PK · custom fields → jsonb columns |
| events | new_york_times_events | timestamptz events |
| configuration objects | new_york_times_configuration_objects | id PK · linked to new_york_times_records |
FAQ
How does Datrise handle New York Times's custom fields in PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the New York Times to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for New York Times
- New York Times → MySQL
- New York Times → Microsoft SQL Server
- New York Times → Oracle Database
- New York Times → Snowflake
- New York Times → Google BigQuery
- New York Times → Amazon Redshift
- New York Times → Databricks SQL Warehouse
- New York Times → ClickHouse
- New York Times → DuckDB
- New York Times → Amazon Athena
- New York Times → Amazon S3 Data Lake
- New York Times → Azure Data Lake Storage
Early access
Connect New York Times to PostgreSQL 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.