DatriseAI-first ETL

Insightly Yellowfin

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

How Datrise loads Insightly into Yellowfin

Datrise syncs Insightly's contacts, organizations, opportunities, projects, and delivery milestones 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

Insightly: CRM and lightweight project delivery.

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

How Insightly entities map to Yellowfin

Insightly entityYellowfin objectNotes
contactsinsightly_contactsid PK · custom fields → flattened columns
organizationsinsightly_organizationsid PK · linked to insightly_contacts
opportunitiesinsightly_opportunitiesid PK · linked to insightly_contacts
projectsinsightly_projectsid PK · linked to insightly_contacts

FAQ

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

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

Related pipelines

Early access

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