DatriseAI-first ETL

Zendesk Support to Holistics Integration

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

How Datrise loads Zendesk Support into Holistics

Datrise syncs Zendesk Support's tickets, users, organizations, macros, satisfaction ratings, and ticket comments into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Zendesk Support: Customer support ticketing and agent workflows.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Zendesk Support entities map to Holistics

Zendesk Support entityHolistics objectNotes
ticketszendesk_support_ticketsid PK · custom fields → flattened columns for the modeling layer
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 Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Zendesk Support to Holistics sync stay up to date?

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

Related pipelines

Early access

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