DatriseAI-first ETL

Braintree Azure Synapse

AI-first ETL from Braintree into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Braintree into Azure Synapse

Datrise syncs Braintree's transactions, customers, disputes, and settlement records into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Braintree: PayPal-owned payment gateway for card and wallet transactions.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Braintree entities map to Azure Synapse

Braintree entityAzure Synapse objectNotes
transactionsbraintree_transactionsid PK · custom fields → NVARCHAR(MAX) JSON columns
customersbraintree_customersid PK · linked to braintree_transactions
disputesbraintree_disputesid PK · linked to braintree_transactions
settlement recordsbraintree_settlement_recordsid PK · linked to braintree_transactions

FAQ

How does Datrise handle Braintree's custom fields in Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Braintree to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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