DatriseAI-first ETL

K6 Cloud Holistics

AI-first ETL from K6 Cloud into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads K6 Cloud into Holistics

Datrise syncs K6 Cloud's records, events, and configuration objects into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

K6 Cloud: SaaS or API data source for analytics and warehouse sync.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How K6 Cloud entities map to Holistics

K6 Cloud entityHolistics objectNotes
recordsk6_cloud_recordsid PK · custom fields → flattened columns for the modeling layer
eventsk6_cloud_eventsdate/time dimensions events
configuration objectsk6_cloud_configuration_objectsid PK · linked to k6_cloud_records

FAQ

How does Datrise handle K6 Cloud's custom fields in Holistics?

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

How does the K6 Cloud to Holistics sync stay up to date?

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

Related pipelines

Early access

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