DatriseAI-first ETL

Zendesk Sunshine to Chartio Integration

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

How Datrise loads Zendesk Sunshine into Chartio

Datrise syncs Zendesk Sunshine's custom objects, object records, profiles, events, relationships, and attributes into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.

Ideal for drag-and-drop charting over a database.

Endpoints

Zendesk Sunshine: Custom objects and unified customer profiles.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How Zendesk Sunshine entities map to Chartio

Zendesk Sunshine entityChartio objectNotes
custom objectszendesk_sunshine_custom_objectsid PK · custom fields → flattened columns for visual SQL
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 Chartio?

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

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

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

Related pipelines

Early access

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