DatriseAI-first ETL

Nectar CRM to Metabase Integration

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

How Datrise loads Nectar CRM into Metabase

Datrise syncs Nectar CRM's contacts, companies, opportunities, sales stages, activities, and quotes 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

Nectar CRM: B2B sales CRM with playbooks for Brazilian teams.

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

How Nectar CRM entities map to Metabase

Nectar CRM entityMetabase objectNotes
contactsnectar_crm_contactsid PK · custom fields → flattened columns for the question builder
companiesnectar_crm_companiesid PK · linked to nectar_crm_contacts
opportunitiesnectar_crm_opportunitiesid PK · linked to nectar_crm_contacts
sales stagesnectar_crm_sales_stagesid PK · linked to nectar_crm_contacts

FAQ

How does Datrise handle Nectar 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 Nectar 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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