DatriseAI-first ETL

RD Station CRM Metabase

AI-first ETL from RD Station CRM into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads RD Station CRM into Metabase

Datrise syncs RD Station 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

RD Station CRM: CRM widely used in Latin America for sales pipeline and customer ops.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How RD Station CRM entities map to Metabase

RD Station CRM entityMetabase objectNotes
contactsrd_station_crm_contactsid PK · custom fields → flattened columns for the question builder
accountsrd_station_crm_accountsid PK · linked to rd_station_crm_contacts
dealsrd_station_crm_dealsid PK · linked to rd_station_crm_contacts
activitiesrd_station_crm_activitiestemporal columns for trends events

FAQ

How does Datrise handle RD Station 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 RD Station CRM to Metabase sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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