Zenloop to Chartio Integration
AI-first ETL from Zenloop into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Zenloop into Chartio
Datrise syncs Zenloop's surveys, answers, NPS scores, respondents, sentiment labels, and feedback topics 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
Zenloop: NPS surveys and customer feedback analysis.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Zenloop entities map to Chartio
| Zenloop entity | Chartio object | Notes |
|---|---|---|
| surveys | zenloop_surveys | id PK · custom fields → flattened columns for visual SQL |
| answers | zenloop_answers | id PK · linked to zenloop_surveys |
| NPS scores | zenloop_nps_scores | id PK · linked to zenloop_surveys |
| respondents | zenloop_respondents | id PK · linked to zenloop_surveys |
FAQ
How does Datrise handle Zenloop'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 Zenloop to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Zenloop
Early access
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