Recharge → Chartio
AI-first ETL from Recharge into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Recharge into Chartio
Datrise syncs Recharge's subscriptions, charges, customers, plans, and churn events 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
Recharge: Subscription commerce for Shopify and recurring billing.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Recharge entities map to Chartio
| Recharge entity | Chartio object | Notes |
|---|---|---|
| subscriptions | recharge_subscriptions | id PK · custom fields → flattened columns for visual SQL |
| charges | recharge_charges | id PK · linked to recharge_subscriptions |
| customers | recharge_customers | id PK · linked to recharge_subscriptions |
| plans | recharge_plans | id PK · linked to recharge_subscriptions |
FAQ
How does Datrise handle Recharge'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 Recharge to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Recharge
Early access
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