DatriseAI-first ETL

Marketo Bulk to Supabase Integration

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

How Datrise loads Marketo Bulk into Supabase

Datrise syncs Marketo Bulk's leads, activities, program memberships, email events, lists, and custom objects 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

Marketo Bulk: Bulk export of Marketo lead and activity history.

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

How Marketo Bulk entities map to Supabase

Marketo Bulk entitySupabase objectNotes
leadsmarketo_bulk_leadsid PK · custom fields → jsonb columns
activitiesmarketo_bulk_activitiestimestamptz events
program membershipsmarketo_bulk_program_membershipsid PK · linked to marketo_bulk_leads
email eventsmarketo_bulk_email_eventstimestamptz events

FAQ

How does Datrise handle Marketo Bulk'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 Marketo Bulk 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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