DatriseAI-first ETL

Outbrain to ThoughtSpot Integration

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

How Datrise loads Outbrain into ThoughtSpot

Datrise syncs Outbrain's campaigns, promoted links, publishers, spend, clicks, and conversions into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

Outbrain: Native content discovery advertising.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Outbrain entities map to ThoughtSpot

Outbrain entityThoughtSpot objectNotes
campaignsoutbrain_campaignsid PK · custom fields → flattened columns for searchable fields
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 ThoughtSpot?

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

How does the Outbrain to ThoughtSpot sync stay up to date?

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

Related pipelines

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