Freshdesk → Domo
AI-first ETL from Freshdesk into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Freshdesk into Domo
Datrise syncs Freshdesk's tickets, contacts, agents, SLA events, and satisfaction scores into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
Freshdesk: Customer support helpdesk with tickets, SLAs, and agent workflows.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Freshdesk entities map to Domo
| Freshdesk entity | Domo object | Notes |
|---|---|---|
| tickets | freshdesk_tickets | id PK · custom fields → flattened columns for Magic ETL |
| contacts | freshdesk_contacts | id PK · linked to freshdesk_tickets |
| agents | freshdesk_agents | id PK · linked to freshdesk_tickets |
| SLA events | freshdesk_sla_events | date/time columns events |
FAQ
How does Datrise handle Freshdesk's custom fields in Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the Freshdesk to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
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