Omie CRM to DuckDB Integration

How Datrise loads Omie CRM into DuckDB

Datrise syncs Omie CRM's clients, opportunities, sales orders, invoices, products, and accounts receivable into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

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

DuckDB: In-process analytics database for fast local OLAP.

How Omie CRM entities map to DuckDB

Omie CRM entity	DuckDB object	Notes
clients	`omie_clients`	id PK · custom fields → JSON or STRUCT columns
opportunities	`omie_opportunities`	id PK · linked to omie_clients
sales orders	`omie_sales_orders`	id PK · linked to omie_clients
invoices	`omie_invoices`	id PK · linked to omie_clients

FAQ

How does Datrise handle Omie CRM's custom fields in DuckDB?

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

How does the Omie CRM to DuckDB sync stay up to date?

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

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