DatriseAI-first ETL

Sage CRM to Metabase Integration

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

How Datrise loads Sage CRM into Metabase

Datrise syncs Sage CRM's persons, companies, opportunities, cases, communications, and leads 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

Sage CRM: CRM tied to Sage accounting for mid-market operations.

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

How Sage CRM entities map to Metabase

Sage CRM entityMetabase objectNotes
personssage_crm_personsid PK · custom fields → flattened columns for the question builder
companiessage_crm_companiesid PK · linked to sage_crm_persons
opportunitiessage_crm_opportunitiesid PK · linked to sage_crm_persons
casessage_crm_casesid PK · linked to sage_crm_persons

FAQ

How does Datrise handle Sage 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 Sage 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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