DatriseAI-first ETL

NetSuite Yellowfin

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

How Datrise loads NetSuite into Yellowfin

Datrise syncs NetSuite's transactions, customers, items, subsidiaries, and GL activity into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

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

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How NetSuite entities map to Yellowfin

NetSuite entityYellowfin objectNotes
transactionsnetsuite_transactionsid PK · custom fields → flattened columns
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 Yellowfin?

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 Yellowfin types.

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

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

Related pipelines

Early access

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