DatriseAI-first ETL

StackAdapt to Apache Superset Integration

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

How Datrise loads StackAdapt into Apache Superset

Datrise syncs StackAdapt's campaigns, line items, creatives, spend, impressions, and conversions into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

StackAdapt: Programmatic advertising across native and display.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How StackAdapt entities map to Apache Superset

StackAdapt entityApache Superset objectNotes
campaignsstackadapt_campaignsid PK · custom fields → flattened columns for the explore UI
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 Apache Superset?

Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.

How does the StackAdapt to Apache Superset sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

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