DatriseAI-first ETL

StackAdapt to Neon Integration

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

How Datrise loads StackAdapt into Neon

Datrise syncs StackAdapt's campaigns, line items, creatives, spend, impressions, 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

StackAdapt: Programmatic advertising across native and display.

Neon: Serverless Postgres destination with branching and autoscaling.

How StackAdapt entities map to Neon

StackAdapt entityNeon objectNotes
campaignsstackadapt_campaignsid PK · custom fields → jsonb columns
line itemsstackadapt_line_itemsid PK · linked to stackadapt_campaigns
creativesstackadapt_creativesid PK · linked to stackadapt_campaigns
spendstackadapt_spendid PK · linked to stackadapt_campaigns

FAQ

How does Datrise handle StackAdapt'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 StackAdapt 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

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