DatriseAI-first ETL

StackAdapt to PostgreSQL Integration

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

How Datrise loads StackAdapt into PostgreSQL

Datrise syncs StackAdapt's campaigns, line items, creatives, spend, impressions, and conversions into PostgreSQL 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

StackAdapt: Programmatic advertising across native and display.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How StackAdapt entities map to PostgreSQL

StackAdapt entityPostgreSQL 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 PostgreSQL?

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 PostgreSQL types.

How does the StackAdapt to PostgreSQL sync stay up to date?

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

Related pipelines

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