DatriseAI-first ETL

NetSuite SuiteAnalytics to Spotfire Integration

AI-first ETL from NetSuite SuiteAnalytics into Spotfire. Governed entities, incremental sync, typed landing tables.

How Datrise loads NetSuite SuiteAnalytics into Spotfire

Datrise syncs NetSuite SuiteAnalytics's transactions, customers, items, subsidiaries, journal entries, and sales orders into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

NetSuite SuiteAnalytics: ERP financials, orders, and inventory from NetSuite.

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How NetSuite SuiteAnalytics entities map to Spotfire

NetSuite SuiteAnalytics entitySpotfire objectNotes
transactionsnetsuite_suite_analytics_transactionsid PK · custom fields → flattened columns for visualizations
customersnetsuite_suite_analytics_customersid PK · linked to netsuite_suite_analytics_transactions
itemsnetsuite_suite_analytics_itemsid PK · linked to netsuite_suite_analytics_transactions
subsidiariesnetsuite_suite_analytics_subsidiariesid PK · linked to netsuite_suite_analytics_transactions

FAQ

How does Datrise handle NetSuite SuiteAnalytics's custom fields in Spotfire?

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

How does the NetSuite SuiteAnalytics to Spotfire sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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