Retently to Chartio Integration
AI-first ETL from Retently into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Retently into Chartio
Datrise syncs Retently's surveys, responses, customers, NPS scores, campaigns, and feedback comments 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
Retently: NPS and customer satisfaction survey tracking.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Retently entities map to Chartio
| Retently entity | Chartio object | Notes |
|---|---|---|
| surveys | retently_surveys | id PK · custom fields → flattened columns for visual SQL |
| responses | retently_responses | id PK · linked to retently_surveys |
| customers | retently_customers | id PK · linked to retently_surveys |
| NPS scores | retently_nps_scores | id PK · linked to retently_surveys |
FAQ
How does Datrise handle Retently'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 Retently to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Retently
Early access
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