DatriseAI-first ETL

GNews to Neon Integration

AI-first ETL from GNews into Neon. Governed entities, incremental sync, typed landing tables.

How Datrise loads GNews into Neon

Datrise syncs GNews's articles, sources, headlines, publication dates, topics, and search queries into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

GNews: News article search across publishers.

Neon: Serverless Postgres destination with branching and autoscaling.

How GNews entities map to Neon

GNews entityNeon objectNotes
articlesgnews_articlesid PK · custom fields → jsonb columns
sourcesgnews_sourcesid PK · linked to gnews_articles
headlinesgnews_headlinesid PK · linked to gnews_articles
publication datesgnews_publication_datesid PK · linked to gnews_articles

FAQ

How does Datrise handle GNews's custom fields in Neon?

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 Neon types.

How does the GNews to Neon sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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