DatriseAI-first ETL

NetSuite SuiteAnalytics to GoodData Integration

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

How Datrise loads NetSuite SuiteAnalytics into GoodData

Datrise syncs NetSuite SuiteAnalytics's transactions, customers, items, subsidiaries, journal entries, and sales orders into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

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

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How NetSuite SuiteAnalytics entities map to GoodData

NetSuite SuiteAnalytics entityGoodData objectNotes
transactionsnetsuite_suite_analytics_transactionsid PK · custom fields → flattened columns
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 GoodData?

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 GoodData types.

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

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

Related pipelines

Early access

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