DatriseAI-first ETL

Platform Purple to Microsoft SQL Server Integration

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

How Datrise loads Platform Purple into Microsoft SQL Server

Datrise syncs Platform Purple's licenses, products, customers, activations, entitlements, and orders into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

Platform Purple: Software licensing, entitlements, and activations.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Platform Purple entities map to Microsoft SQL Server

Platform Purple entityMicrosoft SQL Server objectNotes
licensesplatform_purple_licensesid PK · custom fields → NVARCHAR(MAX) JSON columns
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 Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the Platform Purple to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

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