DatriseAI-first ETL

Front to Supabase Integration

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

How Datrise loads Front into Supabase

Datrise syncs Front's conversations, messages, contacts, inboxes, tags, and teammates 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

Front: Shared inbox for team email and messaging.

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

How Front entities map to Supabase

Front entitySupabase objectNotes
conversationsfrontapp_conversationsid PK · custom fields → jsonb columns
messagesfrontapp_messagesid PK · linked to frontapp_conversations
contactsfrontapp_contactsid PK · linked to frontapp_conversations
inboxesfrontapp_inboxesid PK · linked to frontapp_conversations

FAQ

How does Datrise handle Front'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 Front 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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