DatriseAI-first ETL

Persistiq to ThoughtSpot Integration

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

How Datrise loads Persistiq into ThoughtSpot

Datrise syncs Persistiq's prospects, campaigns, sequences, email events, users, and dispositions 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

Persistiq: Outbound sales sequences and prospect tracking.

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

How Persistiq entities map to ThoughtSpot

Persistiq entityThoughtSpot objectNotes
prospectspersistiq_prospectsid PK · custom fields → flattened columns for searchable fields
campaignspersistiq_campaignsid PK · linked to persistiq_prospects
sequencespersistiq_sequencesid PK · linked to persistiq_prospects
email eventspersistiq_email_eventsdate/time columns events

FAQ

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

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

Related pipelines

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