DatriseAI-first ETL

Harness to Holistics Integration

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

How Datrise loads Harness into Holistics

Datrise syncs Harness's pipelines, deployments, services, environments, execution logs, and approvals 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

Harness: Continuous delivery pipelines and deployment verification.

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

How Harness entities map to Holistics

Harness entityHolistics objectNotes
pipelinesharness_pipelinesid PK · custom fields → flattened columns for the modeling layer
deploymentsharness_deploymentsid PK · linked to harness_pipelines
servicesharness_servicesid PK · linked to harness_pipelines
environmentsharness_environmentsid PK · linked to harness_pipelines

FAQ

How does Datrise handle Harness'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 Harness to Holistics sync stay up to date?

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

Related pipelines

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