DatriseAI-first ETL

Vantage to Amazon QuickSight Integration

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

How Datrise loads Vantage into Amazon QuickSight

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

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

Vantage: Cloud cost visibility and spend allocation.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Vantage entities map to Amazon QuickSight

Vantage entityAmazon QuickSight objectNotes
costsvantage_costsid PK · custom fields → flattened columns for analyses
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 Amazon QuickSight?

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

How does the Vantage to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

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