DatriseAI-first ETL

Nectar CRM Yellowfin

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

How Datrise loads Nectar CRM into Yellowfin

Datrise syncs Nectar CRM's contacts, accounts, deals, activities, and lifecycle events 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

Nectar CRM: CRM widely used in Latin America for sales pipeline and customer ops.

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

How Nectar CRM entities map to Yellowfin

Nectar CRM entityYellowfin objectNotes
contactsnectar_crm_contactsid PK · custom fields → flattened columns
accountsnectar_crm_accountsid PK · linked to nectar_crm_contacts
dealsnectar_crm_dealsid PK · linked to nectar_crm_contacts
activitiesnectar_crm_activitiesdate/time dimensions events

FAQ

How does Datrise handle Nectar CRM'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 Nectar CRM 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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