DatriseAI-first ETL

News API to ClickHouse Integration

AI-first ETL from News API into ClickHouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads News API into ClickHouse

Datrise syncs News API's articles, sources, headlines, publication dates, categories, and search queries 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

News API: Aggregated news headlines across publishers.

ClickHouse: Columnar OLAP engine for fast aggregations.

How News API entities map to ClickHouse

News API entityClickHouse objectNotes
articlesnews_api_articlesid PK · custom fields → JSON or Map columns
sourcesnews_api_sourcesid PK · linked to news_api_articles
headlinesnews_api_headlinesid PK · linked to news_api_articles
publication datesnews_api_publication_datesid PK · linked to news_api_articles

FAQ

How does Datrise handle News API'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 News API 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

Early access

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