DatriseAI-first ETL

Platform Purple to Mode Integration

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

How Datrise loads Platform Purple into Mode

Datrise syncs Platform Purple's licenses, products, customers, activations, entitlements, and orders into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

Platform Purple: Software licensing, entitlements, and activations.

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How Platform Purple entities map to Mode

Platform Purple entityMode objectNotes
licensesplatform_purple_licensesid PK · custom fields → flattened columns for SQL and notebooks
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 Mode?

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

How does the Platform Purple to Mode sync stay up to date?

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

Related pipelines

Early access

Connect Platform Purple to Mode the easy way

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