DatriseAI-first ETL

Vantage to Spotfire Integration

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

How Datrise loads Vantage into Spotfire

Datrise syncs Vantage's costs, resources, providers, cost reports, tags, and budget alerts into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

Vantage: Cloud cost visibility and spend allocation.

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How Vantage entities map to Spotfire

Vantage entitySpotfire objectNotes
costsvantage_costsid PK · custom fields → flattened columns for visualizations
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 Spotfire?

Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.

How does the Vantage to Spotfire sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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