DatriseAI-first ETL

Braintree ThoughtSpot

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

How Datrise loads Braintree into ThoughtSpot

Datrise syncs Braintree's transactions, customers, disputes, and settlement records into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

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

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Braintree entities map to ThoughtSpot

Braintree entityThoughtSpot objectNotes
transactionsbraintree_transactionsid PK · custom fields → flattened columns for searchable fields
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 ThoughtSpot?

Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.

How does the Braintree to ThoughtSpot sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the indexed tables.

Related pipelines

Early access

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