DatriseAI-first ETL

Zendesk Sunshine to ThoughtSpot Integration

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

How Datrise loads Zendesk Sunshine into ThoughtSpot

Datrise syncs Zendesk Sunshine's custom objects, object records, profiles, events, relationships, and 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

Zendesk Sunshine: Custom objects and unified customer profiles.

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

How Zendesk Sunshine entities map to ThoughtSpot

Zendesk Sunshine entityThoughtSpot objectNotes
custom objectszendesk_sunshine_custom_objectsid PK · custom fields → flattened columns for searchable fields
object recordszendesk_sunshine_object_recordsid PK · linked to zendesk_sunshine_custom_objects
profileszendesk_sunshine_profilesid PK · linked to zendesk_sunshine_custom_objects
eventszendesk_sunshine_eventsdate/time columns events

FAQ

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

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

Related pipelines

Early access

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