New York Times → ClickHouse
AI-first ETL from New York Times into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads New York Times into ClickHouse
Datrise syncs New York Times's records, events, and configuration objects into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.
Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.
Ideal for high-volume event analytics that need sub-second aggregation.
Endpoints
New York Times: SaaS or API data source for analytics and warehouse sync.
ClickHouse: Columnar OLAP engine for fast aggregations.
How New York Times entities map to ClickHouse
| New York Times entity | ClickHouse object | Notes |
|---|---|---|
| records | new_york_times_records | id PK · custom fields → JSON or Map columns |
| events | new_york_times_events | DateTime64 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 ClickHouse?
Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.
How does the New York Times to ClickHouse sync stay up to date?
It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.
Related pipelines
More destinations for New York Times
- New York Times → DuckDB
- 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
Early access
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