DatriseAI-first ETL

Platform Purple to ClickHouse Integration

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

How Datrise loads Platform Purple into ClickHouse

Datrise syncs Platform Purple's licenses, products, customers, activations, entitlements, and orders into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

Platform Purple: Software licensing, entitlements, and activations.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Platform Purple entities map to ClickHouse

Platform Purple entityClickHouse objectNotes
licensesplatform_purple_licensesid PK · custom fields → JSON or Map 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 ClickHouse?

Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.

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

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

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