DatriseAI-first ETL

NetSuite Metabase

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

How Datrise loads NetSuite into Metabase

Datrise syncs NetSuite's transactions, customers, items, subsidiaries, and GL activity into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

NetSuite: Cloud ERP for finance, inventory, and operations.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How NetSuite entities map to Metabase

NetSuite entityMetabase objectNotes
transactionsnetsuite_transactionsid PK · custom fields → flattened columns for the question builder
customersnetsuite_customersid PK · linked to netsuite_transactions
itemsnetsuite_itemsid PK · linked to netsuite_transactions
subsidiariesnetsuite_subsidiariesid PK · linked to netsuite_transactions

FAQ

How does Datrise handle NetSuite's custom fields in Metabase?

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

How does the NetSuite to Metabase sync stay up to date?

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

Related pipelines

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