DatriseAI-first ETL

NetSuite SuiteAnalytics to Mode Integration

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

How Datrise loads NetSuite SuiteAnalytics into Mode

Datrise syncs NetSuite SuiteAnalytics's transactions, customers, items, subsidiaries, journal entries, and sales orders into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

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

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How NetSuite SuiteAnalytics entities map to Mode

NetSuite SuiteAnalytics entityMode objectNotes
transactionsnetsuite_suite_analytics_transactionsid PK · custom fields → flattened columns for SQL and notebooks
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 Mode?

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

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

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

Related pipelines

Early access

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