DatriseAI-first ETL

Zoom Supabase

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

How Datrise loads Zoom into Supabase

Datrise syncs Zoom's meetings, participants, webinars, recordings, and usage reports 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

Zoom: Video meetings, webinars, and workplace collaboration.

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

How Zoom entities map to Supabase

Zoom entitySupabase objectNotes
meetingszoom_meetingsid PK · custom fields → jsonb columns
participantszoom_participantsid PK · linked to zoom_meetings
webinarszoom_webinarsid PK · linked to zoom_meetings
recordingszoom_recordingsid PK · linked to zoom_meetings

FAQ

How does Datrise handle Zoom'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 Zoom 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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