StackAdapt to Redash Integration

How Datrise loads StackAdapt into Redash

Datrise syncs StackAdapt's campaigns, line items, creatives, spend, impressions, and conversions into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

StackAdapt: Programmatic advertising across native and display.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How StackAdapt entities map to Redash

StackAdapt entity	Redash object	Notes
campaigns	`stackadapt_campaigns`	id PK · custom fields → flattened columns for query results
line items	`stackadapt_line_items`	id PK · linked to stackadapt_campaigns
creatives	`stackadapt_creatives`	id PK · linked to stackadapt_campaigns
spend	`stackadapt_spend`	id PK · linked to stackadapt_campaigns

FAQ

How does Datrise handle StackAdapt's custom fields in Redash?

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

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

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

Related pipelines

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