DatriseAI-first ETL

Platform Purple to Looker Studio Integration

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

How Datrise loads Platform Purple into Looker Studio

Datrise syncs Platform Purple's licenses, products, customers, activations, entitlements, and orders into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

Platform Purple: Software licensing, entitlements, and activations.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Platform Purple entities map to Looker Studio

Platform Purple entityLooker Studio objectNotes
licensesplatform_purple_licensesid PK · custom fields → flattened columns for chart fields
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 Looker Studio?

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

How does the Platform Purple to Looker Studio sync stay up to date?

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

Related pipelines

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