Intercom → Supabase
AI-first ETL from Intercom into Supabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Intercom into Supabase
Datrise syncs Intercom's conversations, customer attributes, inbox events, and support engagement 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
Intercom: Customer messaging platform with CRM-style account and conversation context.
Supabase: Postgres platform with auth, storage, and realtime APIs.
How Intercom entities map to Supabase
| Intercom entity | Supabase object | Notes |
|---|---|---|
| conversations | intercom_conversations | id PK · custom fields → jsonb columns |
| customer attributes | intercom_customer_attributes | id PK · linked to intercom_conversations |
| inbox events | intercom_inbox_events | timestamptz events |
| support engagement | intercom_support_engagement | id PK · linked to intercom_conversations |
FAQ
How does Datrise handle Intercom'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 Intercom 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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