Omie CRM → Metabase
AI-first ETL from Omie CRM into Metabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Omie CRM into Metabase
Datrise syncs Omie CRM's contacts, accounts, deals, activities, and lifecycle events into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.
Ideal for self-serve questions and dashboards for whole teams.
Endpoints
Omie CRM: CRM widely used in Latin America for sales pipeline and customer ops.
Metabase: Open-source analytics with questions, dashboards, and embedded insights.
How Omie CRM entities map to Metabase
| Omie CRM entity | Metabase object | Notes |
|---|---|---|
| contacts | omie_contacts | id PK · custom fields → flattened columns for the question builder |
| accounts | omie_accounts | id PK · linked to omie_contacts |
| deals | omie_deals | id PK · linked to omie_contacts |
| activities | omie_activities | temporal columns for trends events |
FAQ
How does Datrise handle Omie CRM's custom fields in Metabase?
Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.
How does the Omie CRM to Metabase sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Omie CRM
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