Recurly → GoodData
AI-first ETL from Recurly into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Recurly into GoodData
Datrise syncs Recurly's subscriptions, invoices, plans, transactions, and dunning events into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
Recurly: Subscription management and recurring billing platform.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Recurly entities map to GoodData
| Recurly entity | GoodData object | Notes |
|---|---|---|
| subscriptions | recurly_subscriptions | id PK · custom fields → flattened columns |
| 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 GoodData?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native GoodData types.
How does the Recurly to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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