DatriseAI-first ETL

NetSuite SuiteAnalytics to DuckDB Integration

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

How Datrise loads NetSuite SuiteAnalytics into DuckDB

Datrise syncs NetSuite SuiteAnalytics's transactions, customers, items, subsidiaries, journal entries, and sales orders into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

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

DuckDB: In-process analytics database for fast local OLAP.

How NetSuite SuiteAnalytics entities map to DuckDB

NetSuite SuiteAnalytics entityDuckDB objectNotes
transactionsnetsuite_suite_analytics_transactionsid PK · custom fields → JSON or STRUCT 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 DuckDB?

Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.

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

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

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