DatriseAI-first ETL

Nectar CRM to Supabase Integration

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

How Datrise loads Nectar CRM into Supabase

Datrise syncs Nectar CRM's contacts, companies, opportunities, sales stages, activities, and quotes into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

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

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Nectar CRM entities map to Supabase

Nectar CRM entitySupabase objectNotes
contactsnectar_crm_contactsid PK · custom fields → jsonb columns
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 Supabase?

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

How does the Nectar CRM to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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