DatriseAI-first ETL

NetSuite PlanetScale

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

How Datrise loads NetSuite into PlanetScale

Datrise syncs NetSuite's transactions, customers, items, subsidiaries, and GL activity into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

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

PlanetScale: Serverless MySQL platform with safe schema workflows.

How NetSuite entities map to PlanetScale

NetSuite entityPlanetScale objectNotes
transactionsnetsuite_transactionsid PK · custom fields → JSON 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 PlanetScale?

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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