DatriseAI-first ETL

Orbit Love Yellowfin

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

How Datrise loads Orbit Love into Yellowfin

Datrise syncs Orbit Love's records, events, and configuration objects 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 Love: SaaS or API data source for analytics and warehouse sync.

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

How Orbit Love entities map to Yellowfin

Orbit Love entityYellowfin objectNotes
recordsorbit_love_recordsid PK · custom fields → flattened columns
eventsorbit_love_eventsdate/time dimensions events
configuration objectsorbit_love_configuration_objectsid PK · linked to orbit_love_records

FAQ

How does Datrise handle Orbit Love'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 Love to Yellowfin sync stay up to date?

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

Related pipelines

Early access

Connect Orbit Love to Yellowfin the easy way

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