DatriseAI-first ETL

Drift to Supabase Integration

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

How Datrise loads Drift into Supabase

Datrise syncs Drift's conversations, contacts, playbooks, meetings, messages, and accounts 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

Drift: Conversational marketing and sales chat.

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

How Drift entities map to Supabase

Drift entitySupabase objectNotes
conversationsdrift_conversationsid PK · custom fields → jsonb columns
contactsdrift_contactsid PK · linked to drift_conversations
playbooksdrift_playbooksid PK · linked to drift_conversations
meetingsdrift_meetingsid PK · linked to drift_conversations

FAQ

How does Datrise handle Drift'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 Drift 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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