DatriseAI-first ETL

Efficy CRM Supabase

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

How Datrise loads Efficy CRM into Supabase

Datrise syncs Efficy CRM's contacts, accounts, deals, activities, and lifecycle events 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

Efficy CRM: European CRM for SMB and mid-market sales teams.

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

How Efficy CRM entities map to Supabase

Efficy CRM entitySupabase objectNotes
contactsefficy_contactsid PK · custom fields → jsonb columns
accountsefficy_accountsid PK · linked to efficy_contacts
dealsefficy_dealsid PK · linked to efficy_contacts
activitiesefficy_activitiestimestamptz events

FAQ

How does Datrise handle Efficy 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 Efficy 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

Early access

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