Streak to ThoughtSpot Integration

How Datrise loads Streak into ThoughtSpot

Datrise syncs Streak's pipelines, boxes, stages, email threads, contacts, and tasks 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

Streak: CRM that lives inside Gmail as pipelines and boxes.

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

How Streak entities map to ThoughtSpot

Streak entity	ThoughtSpot object	Notes
pipelines	`streak_pipelines`	id PK · custom fields → flattened columns for searchable fields
boxes	`streak_boxes`	id PK · linked to streak_pipelines
stages	`streak_stages`	id PK · linked to streak_pipelines
email threads	`streak_email_threads`	id PK · linked to streak_pipelines

FAQ

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

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

Related pipelines

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