DatriseAI-first ETL

Freshdesk Yellowfin

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

How Datrise loads Freshdesk into Yellowfin

Datrise syncs Freshdesk's tickets, contacts, agents, SLA events, and satisfaction scores 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

Freshdesk: Customer support helpdesk with tickets, SLAs, and agent workflows.

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

How Freshdesk entities map to Yellowfin

Freshdesk entityYellowfin objectNotes
ticketsfreshdesk_ticketsid PK · custom fields → flattened columns
contactsfreshdesk_contactsid PK · linked to freshdesk_tickets
agentsfreshdesk_agentsid PK · linked to freshdesk_tickets
SLA eventsfreshdesk_sla_eventsdate/time dimensions events

FAQ

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

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

Related pipelines

Early access

Connect Freshdesk to Yellowfin the easy way

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