DatriseAI-first ETL

Orbit to Holistics Integration

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

How Datrise loads Orbit into Holistics

Datrise syncs Orbit's members, activities, organizations, love scores, tags, and activity types 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

Orbit: Community member activity and engagement scoring.

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

How Orbit entities map to Holistics

Orbit entityHolistics objectNotes
membersorbit_membersid PK · custom fields → flattened columns for the modeling layer
activitiesorbit_activitiesdate/time dimensions events
organizationsorbit_organizationsid PK · linked to orbit_members
love scoresorbit_love_scoresid PK · linked to orbit_members

FAQ

How does Datrise handle Orbit'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 Orbit 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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