DatriseAI-first ETL

Omie CRM to MySQL Integration

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

How Datrise loads Omie CRM into MySQL

Datrise syncs Omie CRM's clients, opportunities, sales orders, invoices, products, and accounts receivable into MySQL 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/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

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

MySQL: Widely used OSS relational engine (InnoDB).

How Omie CRM entities map to MySQL

Omie CRM entityMySQL 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 MySQL?

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 MySQL types.

How does the Omie CRM to MySQL 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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