DatriseAI-first ETL

Vantage to ThoughtSpot Integration

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

How Datrise loads Vantage into ThoughtSpot

Datrise syncs Vantage's costs, resources, providers, cost reports, tags, and budget alerts 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

Vantage: Cloud cost visibility and spend allocation.

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

How Vantage entities map to ThoughtSpot

Vantage entityThoughtSpot objectNotes
costsvantage_costsid PK · custom fields → flattened columns for searchable fields
resourcesvantage_resourcesid PK · linked to vantage_costs
providersvantage_providersid PK · linked to vantage_costs
cost reportsvantage_cost_reportsid PK · linked to vantage_costs

FAQ

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

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

Related pipelines

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