DatriseAI-first ETL

Platform Purple to Amazon QuickSight Integration

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

How Datrise loads Platform Purple into Amazon QuickSight

Datrise syncs Platform Purple's licenses, products, customers, activations, entitlements, and orders 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

Platform Purple: Software licensing, entitlements, and activations.

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

How Platform Purple entities map to Amazon QuickSight

Platform Purple entityAmazon QuickSight objectNotes
licensesplatform_purple_licensesid PK · custom fields → flattened columns for analyses
productsplatform_purple_productsid PK · linked to platform_purple_licenses
customersplatform_purple_customersid PK · linked to platform_purple_licenses
activationsplatform_purple_activationsid PK · linked to platform_purple_licenses

FAQ

How does Datrise handle Platform Purple'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 Platform Purple 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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