Braintree → Mode
AI-first ETL from Braintree into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Braintree into Mode
Datrise syncs Braintree's transactions, customers, disputes, and settlement records into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Braintree: PayPal-owned payment gateway for card and wallet transactions.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Braintree entities map to Mode
| Braintree entity | Mode object | Notes |
|---|---|---|
| transactions | braintree_transactions | id PK · custom fields → flattened columns for SQL and notebooks |
| 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 Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Braintree to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Braintree
Early access
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