Recurly → Chartio
AI-first ETL from Recurly into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Recurly into Chartio
Datrise syncs Recurly's subscriptions, invoices, plans, transactions, and dunning 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
Recurly: Subscription management and recurring billing platform.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Recurly entities map to Chartio
| Recurly entity | Chartio object | Notes |
|---|---|---|
| subscriptions | recurly_subscriptions | id PK · custom fields → flattened columns for visual SQL |
| invoices | recurly_invoices | id PK · linked to recurly_subscriptions |
| plans | recurly_plans | id PK · linked to recurly_subscriptions |
| transactions | recurly_transactions | id PK · linked to recurly_subscriptions |
FAQ
How does Datrise handle Recurly'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 Recurly to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Recurly
Early access
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