Zendesk Talk to Domo Integration
AI-first ETL from Zendesk Talk into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Zendesk Talk into Domo
Datrise syncs Zendesk Talk's calls, agents, queues, call legs, recordings, and call metrics 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 Talk: Voice support calls and queue performance.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Zendesk Talk entities map to Domo
| Zendesk Talk entity | Domo object | Notes |
|---|---|---|
| calls | zendesk_talk_calls | id PK · custom fields → flattened columns for Magic ETL |
| agents | zendesk_talk_agents | id PK · linked to zendesk_talk_calls |
| queues | zendesk_talk_queues | id PK · linked to zendesk_talk_calls |
| call legs | zendesk_talk_call_legs | id PK · linked to zendesk_talk_calls |
FAQ
How does Datrise handle Zendesk Talk'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 Talk to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
More destinations for Zendesk Talk
Early access
Connect Zendesk Talk to Domo the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.