DatriseAI-first ETL

Omie CRM to PlanetScale Integration

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

How Datrise loads Omie CRM into PlanetScale

Datrise syncs Omie CRM's clients, opportunities, sales orders, invoices, products, and accounts receivable 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

Omie CRM: Brazilian ERP and CRM for SMB sales and finance.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Omie CRM entities map to PlanetScale

Omie CRM entityPlanetScale objectNotes
clientsomie_clientsid PK · custom fields → JSON columns
opportunitiesomie_opportunitiesid PK · linked to omie_clients
sales ordersomie_sales_ordersid PK · linked to omie_clients
invoicesomie_invoicesid PK · linked to omie_clients

FAQ

How does Datrise handle Omie CRM'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 Omie CRM 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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