Newsdata to Snowflake Integration
AI-first ETL from Newsdata into Snowflake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Newsdata into Snowflake
Datrise syncs Newsdata's articles, sources, categories, countries, publication dates, and keywords into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.
Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.
Ideal for central analytics warehouses feeding BI and AI workloads.
Endpoints
Newsdata: News feed API with topic and country filters.
Snowflake: Cloud data warehouse with separated compute and storage.
How Newsdata entities map to Snowflake
| Newsdata entity | Snowflake object | Notes |
|---|---|---|
| articles | newsdata_articles | id PK · custom fields → VARIANT 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 Snowflake?
Flexible values are stored as VARIANT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Snowflake types.
How does the Newsdata to Snowflake sync stay up to date?
It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.
Related pipelines
More destinations for Newsdata
Early access
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