Braintree → MicroStrategy
AI-first ETL from Braintree into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Braintree into MicroStrategy
Datrise syncs Braintree's transactions, customers, disputes, and settlement records into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.
Ideal for large-scale enterprise reporting and governance.
Endpoints
Braintree: PayPal-owned payment gateway for card and wallet transactions.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Braintree entities map to MicroStrategy
| Braintree entity | MicroStrategy 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 MicroStrategy?
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 MicroStrategy types.
How does the Braintree to MicroStrategy sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.
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Early access
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