DatriseAI-first ETL

Zendesk Support to Domo Integration

AI-first ETL from Zendesk Support into Domo. Governed entities, incremental sync, typed landing tables.

How Datrise loads Zendesk Support into Domo

Datrise syncs Zendesk Support's tickets, users, organizations, macros, satisfaction ratings, and ticket comments 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

Zendesk Support: Customer support ticketing and agent workflows.

Domo: Cloud BI platform combining data integration and executive dashboards.

How Zendesk Support entities map to Domo

Zendesk Support entityDomo objectNotes
ticketszendesk_support_ticketsid PK · custom fields → flattened columns for Magic ETL
userszendesk_support_usersid PK · linked to zendesk_support_tickets
organizationszendesk_support_organizationsid PK · linked to zendesk_support_tickets
macroszendesk_support_macrosid PK · linked to zendesk_support_tickets

FAQ

How does Datrise handle Zendesk Support'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 Zendesk Support to Domo sync stay up to date?

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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