Braintree → Redash
AI-first ETL from Braintree into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Braintree into Redash
Datrise syncs Braintree's transactions, customers, disputes, and settlement records into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, 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 for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Braintree: PayPal-owned payment gateway for card and wallet transactions.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Braintree entities map to Redash
| Braintree entity | Redash object | Notes |
|---|---|---|
| transactions | braintree_transactions | id PK · custom fields → flattened columns for query results |
| 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 Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Braintree to Redash 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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