DatriseAI-first ETL

Zendesk Sunshine to Mode Integration

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

How Datrise loads Zendesk Sunshine into Mode

Datrise syncs Zendesk Sunshine's custom objects, object records, profiles, events, relationships, and attributes into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

Zendesk Sunshine: Custom objects and unified customer profiles.

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How Zendesk Sunshine entities map to Mode

Zendesk Sunshine entityMode objectNotes
custom objectszendesk_sunshine_custom_objectsid PK · custom fields → flattened columns for SQL and notebooks
object recordszendesk_sunshine_object_recordsid PK · linked to zendesk_sunshine_custom_objects
profileszendesk_sunshine_profilesid PK · linked to zendesk_sunshine_custom_objects
eventszendesk_sunshine_eventstemporal columns events

FAQ

How does Datrise handle Zendesk Sunshine's custom fields in Mode?

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

How does the Zendesk Sunshine to Mode sync stay up to date?

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

Related pipelines

Early access

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