DatriseAI-first ETL

Outbrain to Neon Integration

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

How Datrise loads Outbrain into Neon

Datrise syncs Outbrain's campaigns, promoted links, publishers, spend, clicks, and conversions 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

Outbrain: Native content discovery advertising.

Neon: Serverless Postgres destination with branching and autoscaling.

How Outbrain entities map to Neon

Outbrain entityNeon objectNotes
campaignsoutbrain_campaignsid PK · custom fields → jsonb columns
promoted linksoutbrain_promoted_linksid PK · linked to outbrain_campaigns
publishersoutbrain_publishersid PK · linked to outbrain_campaigns
spendoutbrain_spendid PK · linked to outbrain_campaigns

FAQ

How does Datrise handle Outbrain'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 Outbrain 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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