DatriseAI-first ETL

Vantage to Qlik Integration

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

How Datrise loads Vantage into Qlik

Datrise syncs Vantage's costs, resources, providers, cost reports, tags, and budget alerts into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.

Ideal for associative, in-memory exploration in Qlik Sense.

Endpoints

Vantage: Cloud cost visibility and spend allocation.

Qlik: Associative analytics with Qlik Sense apps and governed data models.

How Vantage entities map to Qlik

Vantage entityQlik objectNotes
costsvantage_costsid PK · custom fields → flattened columns for the data model
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 Qlik?

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

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

It runs incrementally — Datrise uses incremental QVD loads merged on stable id.

Related pipelines

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