DatriseAI-first ETL

Braze to ThoughtSpot Integration

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

How Datrise loads Braze into ThoughtSpot

Datrise syncs Braze's users, campaigns, canvases, message events, segments, and custom attributes 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

Braze: Cross-channel customer engagement platform.

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

How Braze entities map to ThoughtSpot

Braze entityThoughtSpot objectNotes
usersbraze_usersid PK · custom fields → flattened columns for searchable fields
campaignsbraze_campaignsid PK · linked to braze_users
canvasesbraze_canvasesid PK · linked to braze_users
message eventsbraze_message_eventsdate/time columns events

FAQ

How does Datrise handle Braze'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 Braze to ThoughtSpot sync stay up to date?

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

Related pipelines

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