Pendo → Chartio
AI-first ETL from Pendo into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pendo into Chartio
Datrise syncs Pendo's events, guides, NPS, feature adoption, and account metadata 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
Pendo: Product analytics and in-app guidance for SaaS teams.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Pendo entities map to Chartio
| Pendo entity | Chartio object | Notes |
|---|---|---|
| events | pendo_events | temporal columns events |
| guides | pendo_guides | id PK · linked to pendo_events |
| NPS | pendo_nps | id PK · linked to pendo_events |
| feature adoption | pendo_feature_adoption | id PK · linked to pendo_events |
FAQ
How does Datrise handle Pendo'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 Pendo to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Pendo
Early access
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