Braintree → GoodData
AI-first ETL from Braintree into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Braintree into GoodData
Datrise syncs Braintree's transactions, customers, disputes, and settlement records 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
Braintree: PayPal-owned payment gateway for card and wallet transactions.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Braintree entities map to GoodData
| Braintree entity | GoodData object | Notes |
|---|---|---|
| transactions | braintree_transactions | id PK · custom fields → flattened columns |
| customers | braintree_customers | id PK · linked to braintree_transactions |
| disputes | braintree_disputes | id PK · linked to braintree_transactions |
| settlement records | braintree_settlement_records | id PK · linked to braintree_transactions |
FAQ
How does Datrise handle Braintree'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 Braintree to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Braintree
Early access
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