DatriseAI-first ETL

Orbit to Yellowfin Integration

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

How Datrise loads Orbit into Yellowfin

Datrise syncs Orbit's members, activities, organizations, love scores, tags, and activity types into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

Orbit: Community member activity and engagement scoring.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Orbit entities map to Yellowfin

Orbit entityYellowfin objectNotes
membersorbit_membersid PK · custom fields → flattened columns
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 Yellowfin?

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

How does the Orbit to Yellowfin sync stay up to date?

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

Related pipelines

Early access

Connect Orbit to Yellowfin the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.